{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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At  Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at Coinbase .\n Senior Software Engineer, Backend/Fullstack (Coinbase Advisor - Agentic Trading)\n We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer \u0026 Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team. You'll own the services that make agentic trading feel fast, clear, and trustworthy for millions of customers.\n What you'll do: \n \n Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation\n Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution\n Develop our agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions\n Shape agent behavior through prompt engineering, evals, and conversation analysis, partnering with our registered investment adviser on changes to financial advice\n Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions\n Partner with frontend engineering, product, design, trading infrastructure, and legal/compliance to ship customer-facing capabilities within regulatory guardrails\n \n Required Skills and Experience: \n \n 5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services\n Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures\n Proficiency in Go or demonstrated ability to learn it quickly\n Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation\n Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). \n  \n Annual base salary range (excluding equity and bonus):\n $186,065 — $218,900 USD \n \n Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.\n Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. \n US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. \n Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . \n Data Privacy \u0026 Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .","salary_min":186065,"salary_max":218900,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","llm","distributed-systems","agents","generative-ai","backend","fullstack"],"apply_url":"https://www.coinbase.com/careers/positions/8174232?gh_jid=8174232","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T23:50:37Z","expires_at":"2026-11-13T16:58:01.532962Z","created_at":"2026-10-14T15:21:41.455481Z","updated_at":"2026-10-14T16:58:01.535851Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/add4fc69-019a-44ed-84cb-02a73f033485"},{"id":"83c4050f-83e8-4b87-965f-69179cf623b4","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Backend Software Engineer, AI Observability \u0026 Evals Platform (NYC)  ","slug":"senior-backend-software-engineer-ai-observability-evals-platform-nyc-bd87c734","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n \n\n\nABOUT THE ROLE\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n \n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n   \n    \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n   \n    \n\nCompensation \n\nAnnual salary range: $180,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":180000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","evaluation","backend"],"apply_url":"https://jobs.ashbyhq.com/langchain/20189c9d-f1af-4385-ae06-c3a6c7681ff0/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T04:01:55.653Z","expires_at":"2026-11-13T16:55:08.144623Z","created_at":"2026-10-14T15:18:57.775711Z","updated_at":"2026-10-14T16:55:08.147281Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/83c4050f-83e8-4b87-965f-69179cf623b4"},{"id":"fc66b0ce-e8e8-4be7-af55-40f335c47420","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Backend Engineer, Integrations","slug":"senior-backend-engineer-integrations-13da04bc","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n\n\nWHAT YOU'LL DO\n\nYou'll be joining the Platform Integration Team (PIT Crew) — a high-impact group whose mandate is critical to the scalability and extensibility of the NodeZero platform. The PIT Crew's mission is to transform Horizon3's APIs and integrations from a collection of one-off vendor connectors into a consistent, documented, permission-aware platform. You'll build the systems that let customers connect NodeZero to the tools they already rely on across the security and IT ecosystem.\n\nThis is a senior individual contributor role. You'll lead through technical judgment, cross-functional partnership, and high-quality execution — owning significant pieces of platform infrastructure while helping set the standard for the team.\n\n\n\nIn this role, you will:\n\n - API Platform: evolving our internal GraphQL-federated API into a first-class, customer-facing product — with permissions, multi-account scoping, versioning, schema evolution, and documentation.\n\n - Integration Platform: building and operating a shared Integration Router so new connectors can be configured and declared rather than built from scratch, with reusable authentication, health checks, and workflow execution.\n\n - Security-Tool Integrations: shipping and maintaining integrations with the tools customers already use — CrowdStrike, Splunk, ServiceNow, Jira, Palo Alto, SentinelOne, and others in the SIEM, EDR, and ticketing ecosystem.\n\n - MCP Platform: expanding our customer-facing MCP server and agentic workflow capabilities across US, EU, and Australia production environments, enabling customers to build their own AI-powered workflows atop NodeZero data.\n\n - You'll also share on-call responsibility for a substantial production-observability footprint (Datadog, Kafka-triggered services, multiple environments), meaning you're not just shipping integrations — you're operating them.\n\nWhat You'll Be Responsible For\n\n - Design and implement backend APIs in GraphQL — including federated subgraph development, schema evolution, and multi-account query scoping for MSSP and multi-subsidiary customers.\n\n - Build and extend the Integration Router: connector libraries, workflow configuration, secrets management, vendor adapters, and Kafka-triggered dispatch services.\n\n - Own production reliability for API and integration services: monitoring, alerting, deployment, vendor API drift, rate limits, retries, and safe failure handling.\n\n - Contribute to the MCP platform and OAuth proxy layer, including tool authentication and agentic workflow support.\n\n - Contribute production code that sets the standard for design quality, code quality, and operational rigor.\n\n - Collaborate with frontend engineers, product managers, and security-domain teams (particularly the Pentest Data Platform) to deliver integrated customer experiences.\n\n - Mentor junior and mid-level engineers on the team as it scales.\n\n\n\nWhat You'll Bring\n\n - Ability to own and manage concurrent initiatives, with strong judgment in prioritization and time management.\n\n - Self-directed and driven — capable of conceiving and implementing solutions independently and as part of a team.\n\n - A strong desire to continuously learn new technologies in a fast-paced Agile environment.\n\n - Excellent analytical and problem-solving skills, with attention to detail and a high bar for quality.\n\n - Strong technical documentation ability to support an external developer audience.\n\n - Effective communication and collaboration across engineering, product, and design.\n\n - Interest in mentoring junior and mid-level engineers as the team grows.\n\n\n\nRequired Education / Experience\n\n - Bachelor's Degree in Computer Science, Computer Engineering, or a related field.\n\n - 7+ years of professional software engineering experience using modern o","salary_min":170000,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["security","api-design","agents","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/2f20ccd7-cdeb-44c0-8aef-3981be23602f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-28T20:57:59.861Z","expires_at":"2026-11-13T16:56:49.908056Z","created_at":"2026-10-14T15:20:34.926867Z","updated_at":"2026-10-14T16:56:49.911784Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fc66b0ce-e8e8-4be7-af55-40f335c47420"},{"id":"3c5777ed-c5b2-4f4e-a6eb-ff586102a774","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Backend Engineer, Autonomous Defense","slug":"senior-backend-engineer-autonomous-defense-426525de","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n\nWhat You'll Do\n\nAs a Senior Backend Engineer on the Autonomous Defense team, you'll build the platform that NodeZero's defensive agents run on. Our AI researchers define what these agents should reason about, you build the systems that make that work in production, across thousands of customer tenants, without breaking anything.\n\n\n\nThat means real distributed systems problems, not glue code. They execute inside customer environments under tight isolation, credential, and egress constraints. And when an agent proposes a change in production, the platform has to be able to simulate it, stage it, gate it on approval, roll it back, and prove after the fact exactly what happened and on whose authority.\n\n\n\nThis is a platform role. You'll own the runtime, the tool layer, the orchestration, the connector framework, and the observability that makes agent behavior debuggable. You'll work closely with our AI researchers, but you are not being hired to tune prompts — you are being hired to build the substrate that makes their work shippable and safe.\n\n\n\nResponsibilities\n\n - Build and own the agent execution runtime: durable, resumable, long-running workflows with checkpointing, idempotent steps, cancellation, and timeouts at both the step and run level.\n\n - Design and implement the tool layer that agents act through — a registry with versioning, schema validation, per-tenant enablement, and authorization enforced server-side rather than by the model.\n\n - Build the connector framework for third-party security control planes (EDR, firewall, identity, SIEM, cloud IAM).\n\n - Implement the safe-change pipeline: dry-run and simulation, blast-radius classification, approval gates for high-impact actions, staged rollout, rollback, and an immutable per-tenant audit trail.\n\n - Extend NodeZero's tenant isolation model to agents that take write actions, covering execution boundaries, egress control, quotas, and cross-tenant leakage in caches, indexes, and logs.\n\n - Develop core product features in ETL and GraphQL to support data processing and retrieval for agent context, run history, and remediation state.\n\n - Build the ETL pipelines that turn pentest and remediation outcomes into the datasets our researchers train and evaluate against.\n\n - Instrument everything. Distributed tracing across an agent run, cost and token accounting per tenant, and the tooling to answer \"why did the agent do that\" without guessing.\n\n - Partner with AI researchers, attack engineers, and product to take capabilities from prototype to production, and feed platform constraints back into research direction early rather than late.\n\n\n\nRequired Education / Experience\n\n - Bachelor's Degree in Computer Science, Computer Engineering or related field.\n\n - 7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Go, Scala, C++, TypeScript, etc).\n\n - Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.\n\n - Expert proficiency in SQL.\n\n - Demonstrated experience designing and operating distributed systems in production: asynchronous workflows, queues, retries, idempotency, and partial failure.\n\n - A track record of shipping and operating production services, including on-call ownership.\n\n\n\nWhat Sets You Apart\n\n - Experience building agentic or LLM-backed systems in production\n\n - Experience with a durable execution (such as Temporal) or workflow engine or having built equivalent checkpointing yourself.\n\n - Experience building multi-tenant platforms with hard isolation requirements, workload identity, and short-lived credential brokering.\n\n - Experience integrating a long tail of third-party APIs behind a normalized abstraction.\n\n - Famil","salary_min":170000,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","security","data-pipeline","distributed-systems","api-design","agents","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/6e817127-7746-4b95-b003-0e58cc233bd1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-14T13:50:15.562Z","expires_at":"2026-11-13T16:56:49.860014Z","created_at":"2026-10-14T15:20:34.883146Z","updated_at":"2026-10-14T16:56:49.864059Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3c5777ed-c5b2-4f4e-a6eb-ff586102a774"},{"id":"17b25ba1-c1cd-4cbc-bd8a-cfd01e10125e","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Backend Software Engineer, AI Observability \u0026 Evals Platform (LangSmith)","slug":"senior-backend-software-engineer-ai-observability-evals-platform-langsmith-6a1c13ed","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nThis role is based onsite in Boston, MA.  \n\n\nWe are looking for a Senior Backend Engineer to join our growing engineering team in Boston.  In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n   \n   \n\n\nWHAT YOU'LL BRING:\n\n - 4+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python and/or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput, mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus.\n\n - Strong communication skills, with the ability to collaborate cross-functionally.\n\n - Customer centricity and ownership mentality\n\n\n\nAnnual salary range: $170,000- $235,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":170000,"salary_max":235000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","backend","evaluation"],"apply_url":"https://jobs.ashbyhq.com/langchain/b23ea9af-c6dc-40fa-86ce-75042b905173/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-12T07:00:25.742Z","expires_at":"2026-11-13T16:55:08.118898Z","created_at":"2026-09-12T13:32:04.187229Z","updated_at":"2026-10-14T16:55:08.121687Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/17b25ba1-c1cd-4cbc-bd8a-cfd01e10125e"},{"id":"0c54ead2-210d-4e05-a166-bb1121ab4f00","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Backend Engineer, Data \u0026 App Platform ","slug":"software-engineer-back-end-pentest-platform-742ace88","description":"Get to Know Us\n\nHorizon3 http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\nAs a remote first company, we require minimum 25Mbps consumer grade broadband connection.\n\n\n\n\nWHAT YOU'LL DO\n\nThe Pentest Data Platform (PDP) team owns the shared data platform that ingests NodeZero output from ephemeral operations and delivers it into durable storage, increasingly, in near real time. The team's core mandate is to build a scalable, event-driven architecture that makes operational insights available in near real-time, not just after it finishes.\n\nPDP is a foundational, platform-oriented team whose outputs power core user experiences within the NodeZero security platform. PDP owns the data contracts and internal data services that everything else is built on top of.\n\nNodeZero generates large volumes of structured pentest telemetry: hosts, findings, attack paths, credentials, weaknesses, and relationship graphs. PDP is responsible for turning that raw telemetry into coherent, durable, and queryable records that downstream teams can build on reliably at enterprise scale.\n\nThe team is driving the largest architectural change in Horizon3's history: reworking pentest data processing from a batch-centric monolith into a real-time, event-driven microservice architecture. There is existing code to understand, live customers to protect, and hard distributed-systems problems to solve, all at the same time.\n\n\n\nIn this role, you will:\n\n - Own event-driven pipelines end to end — design, build, and operate streaming services that ingest, distribute, and process pentest operation results, including streaming and batch ETL, aggregation services, schema migrations, and replayable processing.\n\n - Solve real-time asset identity problems — work on asset matching, asset counting, and cross-operation reconciliation, including reducing false splits and overcounting, improving matching explainability, and making asset identity available while an operation is running rather than only after completion.\n\n - Evolve the data model — manage durable SQL-backed storage (PostgreSQL), drive schema evolution with zero-regression fidelity, and ensure data correctness, idempotency, and reliable reprocessing and failure handling.\n\n - Drive enterprise scalability — own database performance, connection pooling, resource management, and platform reliability for a system that must handle hundreds of thousands of hosts per customer.\n\n - Translate batch logic into streaming designs — convert batch business logic (finding enrichment, attack path analysis, host and identity correlation and other core requirements) into streaming designs without regressing fidelity for existing customers.\n\n - Build and maintain shared platform infrastructure — contribute to common processing services that underpin features that enable customers to discover, prioritize, and report on weaknesses; support integration-test infrastructure including delta tracking and batch-transformation frameworks; build auto-discovery and code-generation tooling to accelerate new streaming service development.\n\n - Own operational excellence — maintain ETL dashboards and data-platform monitors, participate in on-call rotations and incident response for production processing failures, manage stuck-operation workflows, define SLOs, and set up instrumentation and alerting for systems that are central to every pentest Horizon3 runs.\n\n - Raise the technical bar — contribute through design reviews, technical writing, merge request reviews, clear API contracts with neighboring platform and product teams, and durable decision records.\n\n\nREQUIRED EDUCATION/EXPERIENCE\n\n - 4+ years of software engineering experience.\n\n - Proficiency in Python, Go, or similar languages with experience in large-scale production codebases.\n\n - Production experience with PostgreSQL inclu","salary_min":170000,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","security","microservices","cloud","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7ba09c64-7d14-43c1-9f0a-fcf2d8449857/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T15:24:01.299Z","expires_at":"2026-11-13T16:56:49.839058Z","created_at":"2026-08-29T13:37:07.759091Z","updated_at":"2026-10-14T16:56:49.843076Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0c54ead2-210d-4e05-a166-bb1121ab4f00"},{"id":"96c70bdf-9099-40eb-a750-add6fecebc98","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Senior Software Engineer I/II, Back-end/Data, Robotics","slug":"senior-software-engineer-iii-back-enddata-robotics-669bb616","description":"Your Impact at LILA \n You will build the back-end and data foundations of the systems that schedule work across our autonomous labs, model them as digital twins, and turn raw experimental output into trustworthy, queryable data. In Robotics, you'll own core services scientists, operators, and engineers rely on daily — the ones that decide how efficiently our robots run and how much our scientists trust their data.\n What You'll Be Building \n \n Design scheduling systems: allocate experiments, instruments, and compute across autonomous labs, modeling long-running jobs as durable Temporal workflows.\n Model digital twins: stand up the simulation/digital-twin data layer so teams predict factory behavior before committing resources.\n Own technical data management: build the Flyte pipelines, S3 lakehouse, and PostgreSQL models that turn instrument output into governed, trustworthy data.\n Enable data science: ship batch and event-driven pipelines that put clean data in the hands of scientists and models.\n Deliver capacity planning: create customer-facing services that help teams forecast factory capacity.\n Operate for scale: run services on AWS EKS with Docker/ECR, Terraform, and GitHub Actions, reliable as the factory grows.\n \n What You'll Need to Succeed \n \n 4–8 years of back-end engineering: production services in Python (FastAPI) at scale.\n Data engineering: pipelines on a workflow orchestrator such as Flyte, Temporal, or similar.\n Data modeling across stores: hands-on SQL (PostgreSQL), object storage (S3), and data lakehouse architectures.\n Cloud-native delivery: a major cloud with containers, infrastructure as code, and CI/CD — ideally AWS EKS (Docker/ECR), Terraform, and GitHub Actions.\n End-to-end ownership: taking services from design through delivery, reliability, and iteration.\n Clear collaboration: communicating technical tradeoffs plainly with engineers, scientists, and business partners.\n \n Bonus Points For \n \n Systems engineering in regulated industries: systems-thinking rigor in safety- or quality-critical settings — aerospace, manufacturing, or healthcare/life sciences. Exposure to 21 CFR Part 11, ALCOA+, GAMP 5 / FDA CSA, or ISA-95 a plus.\n Domain exposure: robotics, lab automation, LIMS, or manufacturing/MES environments.\n Scheduling \u0026 optimization: job scheduling, resource allocation, or constraint/optimization problems.\n Data-science enablement: distributed compute (Ray), experiment tracking (Weights \u0026 Biases), or model serving.\n Event-driven messaging: NATS, MQTT, or similar pub/sub for high-volume telemetry.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\n Expected Base Salary Range\n $144,000 — $240,000 USD \n About LILA \n Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\n LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\n Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\n We’re All In \n Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\n Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .\n A Note to Agencies \n Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s inte","salary_min":144000,"salary_max":240000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","healthcare","cloud","data-pipeline","robotics","backend"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4339324009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-10T16:38:32Z","expires_at":"2026-11-13T17:03:04.114166Z","created_at":"2026-08-25T18:33:17.099953Z","updated_at":"2026-10-14T17:03:04.117335Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/96c70bdf-9099-40eb-a750-add6fecebc98"},{"id":"18d902e9-fe92-4fc0-bf81-196000d337d4","company_id":"e484db67-07a8-4412-8205-29832db55b17","title":"Staff Software Engineer, Backend (Infrastructure)","slug":"staff-software-engineer-backend-infrastructure-b50cc04b","description":"The Opportunity Are you an experienced Staff Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact \n \n Define and drive the architecture of scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms — shaping foundational systems that support sophisticated AI applications and workflows across the organization.\n Leverage your deep expertise in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models, while establishing engineering best practices for the broader team.\n Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with databases — and influence how these patterns are adopted at scale.\n Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics, setting the bar for code quality across teams.\n Partner with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features — often driving alignment across multiple teams simultaneously.\n Serve as a key technical voice with stakeholders across the organization, translating complex infrastructure strategies into clear direction and influencing roadmaps related to AI-enabled infrastructure.\n \n We're Looking for Someone Who \n \n Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.\n Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.\n Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.\n Has 10+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.\n Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.\n Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.\n Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.\n Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.\n Brings substantial production server experience or equivalent backend expertise to the table.\n Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail.\n \n Nice to haves \n \n Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations. \n Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services. \n \n About Otter.ai  \n We are in the business of shaping the future of work. Our mission is to make conversations more valuable.\n With over 1B meetings transcribed,  Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.\n Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.  We provide reasonable accommodations for qualified applicants throughout the hiring process.  \n Accessibility \u0026 Accommodations \n Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.\n *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candid","salary_min":210000,"salary_max":275000,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","api-design","mlops","search","data-pipeline","infrastructure","backend"],"apply_url":"https://otter.ai/careers?gh_jid=7832661003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-06T17:26:04Z","expires_at":"2026-11-13T16:59:49.557462Z","created_at":"2026-08-25T18:31:28.399268Z","updated_at":"2026-10-14T16:59:49.563026Z","company_name":"Otter.ai","company_slug":"otter-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=otter.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/18d902e9-fe92-4fc0-bf81-196000d337d4"},{"id":"252c37a9-b82b-4f96-bccf-f18d6f653ad0","company_id":"e484db67-07a8-4412-8205-29832db55b17","title":"Senior Software Engineer, Backend (Infrastructure)","slug":"senior-software-engineer-backend-infrastructure-44c28055","description":"The Opportunity Are you an experienced Senior Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact \n \n Take ownership of architecting scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms to support sophisticated AI applications and workflows.\n Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models — and mentor junior engineers along the way.\n Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with databases.\n Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics.\n Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.\n Drive technical decisions within your team and communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure.\n \n We're looking for someone who \n \n Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.\n Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.\n Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.\n Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.\n Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.\n Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.\n Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.\n Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.\n Brings substantial production server experience or equivalent backend expertise to the table.\n Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail.\n \n Nice to haves \n \n Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.\n Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.\n \n About Otter.ai  \n We are in the business of shaping the future of work. Our mission is to make conversations more valuable.\n With over 1B meetings transcribed,  Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.\n Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.  We provide reasonable accommodations for qualified applicants throughout the hiring process.  \n Accessibility \u0026 Accommodations \n Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.\n *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. \n Salary range \n Sala","salary_min":185000,"salary_max":230000,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","search","data-pipeline","distributed-systems","api-design","backend","infrastructure"],"apply_url":"https://otter.ai/careers?gh_jid=7832658003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-06T17:23:19Z","expires_at":"2026-11-13T16:59:49.503119Z","created_at":"2026-08-25T18:31:28.357542Z","updated_at":"2026-10-14T16:59:49.506757Z","company_name":"Otter.ai","company_slug":"otter-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=otter.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/252c37a9-b82b-4f96-bccf-f18d6f653ad0"},{"id":"f9964c61-3296-4c8b-a011-840274e46025","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Staff Backend Engineer, Architecture Engineering: Nonlinear Productivity","slug":"staff-backend-engineer-architecture-engineering-nonlinear-productivity-b2053195","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As a Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what \"proven\" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one.\n Some examples of the problems this team takes on:\n \n Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.\n Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.\n \n What you'll do \n \n Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code.\n Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result.\n Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service.\n Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same.\n Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output.\n Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization.\n Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales.\n Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales.\n \n What you'll bring \n \n Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery.\n Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion.\n Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.\n Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others.\n A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps.\n Experience designing evaluation frameworks for systems where \"looks plausible\" and \"is actually correct\" are different questions, and a track record of raising the quality bar for a team's output, not just your own.\n A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off.\n \n About the team \n Nonlinear Productivity — shortened internally to \"NLP,\" with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's s","salary_min":152800,"salary_max":259200,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["llm","distributed-systems","agents","nlp","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8646544002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-06T00:44:04Z","expires_at":"2026-11-13T16:57:54.745032Z","created_at":"2026-08-25T18:28:59.021218Z","updated_at":"2026-10-14T16:57:54.748435Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f9964c61-3296-4c8b-a011-840274e46025"},{"id":"5b08041d-6d99-4003-a485-6b9120370de6","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity","slug":"senior-backend-engineer-architecture-engineering-nonlinear-productivity-bcfba4f9","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As a Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation — diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good.\n Some examples of the problems this team takes on:\n \n Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.\n Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.\n \n What you'll do \n \n Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.\n Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions.\n Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely \"seems to work.\"\n Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area.\n Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.\n Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling\n Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.\n \n What you'll bring \n \n Hands-on experience building agentic or large language model-based systems — multi-step orchestration, tool use, guardrails, and recovery patterns — and making them reliable in production, not treated as one-off prompts or demonstrations.\n A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.\n Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.\n Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages.\n Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments.\n \n About the team \n Nonlinear Productivity — shortened internally to \"NLP,\" with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup — no dedicated product manager, no pre-set backlog — and solutions ","salary_min":139200,"salary_max":235200,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","nlp","agents","llm","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8646556002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-06T00:22:22Z","expires_at":"2026-11-13T16:57:54.714297Z","created_at":"2026-08-25T18:28:58.991001Z","updated_at":"2026-10-14T16:57:54.717483Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5b08041d-6d99-4003-a485-6b9120370de6"},{"id":"aa2145a5-37fe-4cd8-8f11-71058834236a","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff Backend Software Engineer - Agent Platform (Go/Python)","slug":"staff-backend-software-engineer-agent-platform-gopython-84470431","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Software Engineer on the Agent Platform team, you will help secure tens of millions of devices across Windows, Linux, and macOS while processing billions of security events every day as part of SentinelOne’s Endpoint Protection product line.\n We are looking for an excellent software engineer with a reliability-first mindset who thrives on solving complex distributed systems challenges in production and turning those learnings into durable platform improvements and long-term engineering ownership.\n You’ll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform’s reliability, operability, and scalability as a whole.\n You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale.\n This role offers broad technical ownership, the opportunity to work across service boundaries, and the ability to influence the design and reliability of critical platform capabilities used throughout the Agent Platform at SentinelOne. You’ll solve some of the company’s most complex production challenges while helping shape the future of our platform. \n What Will You Do?\n Primary responsibilities include:\n \n Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform.\n Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements.\n Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues.\n Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second.\n Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements.\n Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase.\n Translate business and functional requirements into robust, scalable, and operable technical solutions.\n Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale.\n Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence.\n \n Your Toolkit\n \n Our backend services are primarily developed in with Go and Python also playing important roles.\n We use gRPC, REST, GraphQL, and Kafka for service communication.\n Our data layer includes Redis, PostgreSQL, Cassandra, ClickHouse , and our own columnar time-series database.\n Our services run across multiple AWS and GCP regions on Kubernetes , using Docker, GitHub, and ArgoCD .\n We provide engineers with modern AI-powered tools to improve both eng","salary_min":156000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","cloud","api-design","security","python","backend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7819844003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-02T11:29:12Z","expires_at":"2026-11-13T17:03:30.025194Z","created_at":"2026-10-14T15:25:32.637001Z","updated_at":"2026-10-14T17:03:30.028577Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/aa2145a5-37fe-4cd8-8f11-71058834236a"},{"id":"c21b7e27-b8e3-4454-a7da-f9bbe93fac56","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff Backend Software Engineer - Agent Platform (Python/Go)","slug":"staff-backend-software-engineer-agent-platform-1c3decb1","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Software Engineer on the Agent Platform team, you will help secure tens of millions of devices across Windows, Linux, and macOS while processing billions of security events every day as part of SentinelOne’s Endpoint Protection product line.\n We are looking for an excellent software engineer with a reliability-first mindset who thrives on solving complex distributed systems challenges in production and turning those learnings into durable platform improvements and long-term engineering ownership.\n You’ll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform’s reliability, operability, and scalability as a whole.\n You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale.\n This role offers broad technical ownership, the opportunity to work across service boundaries, and the ability to influence the design and reliability of critical platform capabilities used throughout the Agent Platform at SentinelOne. You’ll solve some of the company’s most complex production challenges while helping shape the future of our platform. \n What Will You Do?\n Primary responsibilities include:\n \n Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform.\n Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements.\n Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues.\n Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second.\n Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements.\n Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase.\n Translate business and functional requirements into robust, scalable, and operable technical solutions.\n Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale.\n Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence.\n \n Your Toolkit\n \n Our backend services are primarily developed in with Go and Python also playing important roles.\n We use gRPC, REST, GraphQL, and Kafka for service communication.\n Our data layer includes Redis, PostgreSQL, Cassandra, ClickHouse , and our own columnar time-series database.\n Our services run across multiple AWS and GCP regions on Kubernetes , using Docker, GitHub, and ArgoCD .\n We provide engineers with modern AI-powered tools to improve both eng","salary_min":156000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["api-design","distributed-systems","cloud","security","python","backend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7818963003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-02T11:28:57Z","expires_at":"2026-11-13T17:03:30.031385Z","created_at":"2026-08-25T18:33:46.394179Z","updated_at":"2026-10-14T17:03:30.034764Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c21b7e27-b8e3-4454-a7da-f9bbe93fac56"},{"id":"57c9b8cb-94a1-4f56-92b0-bf6c43faced6","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Backend Engineer, Security Controls","slug":"senior-backend-engineer-security-controls-1ab4aa49","description":"Get to Know Us\n\nHorizon3 http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\nWhat You’ll Do\n\nAs a Senior Backend Engineer on the Security Controls team, you'll drive the technical vision for EDR telemetry and detection inside NodeZero, with direct influence over how EDR effectiveness and tuning evolves as a core product capability. Modern endpoints are instrumented by CrowdStrike, SentinelOne, Microsoft Defender, Carbon Black, and others. Our customers need to know, with evidence, which of our attack techniques their EDR caught, which ones slipped through, and why. Answering that at scale — across platforms, tenants, and operator objectives — requires someone who deeply understands the telemetry surface and can turn that understanding into a product. Over time, this role will own the technical work for incorporating AI and ML research into how we reason about detection gaps, generate tuning recommendations, and scale effectiveness insights.\n\nResponsibilities\n\n - Develop core product features in ETL (Extract, Transform, Load) and GraphQL to support data processing and retrieval.\n\n - Design and implement backend APIs in GraphQL to facilitate data interactions between different components of the product.\n\n - Build and maintain ETL pipelines for efficient data processing and analytics.\n\n - Collaborate with frontend team members to present data in a clear and user-friendly format, enhancing the product's user experience.\n\nWhat You’ll Bring\n\n - Ability to own and manage concurrent initiatives, demonstrating effective judgment in prioritization and time management.\n\n - Driven, self-managed, capable of conceiving and implementing solutions on your own and with a team\n\n - A strong desire to continuously improve and learn new technologies in a fast-paced Agile development environment\n\n - Excellent analytical and problem-solving skills, effective communication, attention to detail and high-quality work\n\n - Strong technical documentation ability to support the development process.\n\n - Effective communication and collaboration with designers, developers, and product managers.\n\n - Ability and interest in mentoring junior and mid-level engineers to foster their growth and development.\n\nRequired Education / Experience\n\n - Bachelor's Degree in Computer Science, Computer Engineering or related field.\n\n - 7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Java, Go, Scala, C++, TypeScript, etc).\n\n - Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.\n\n - Expert proficiency in SQL.\n\nWhat Sets You Apart \n\n - Deep familiarity with at least one major EDR platform (CrowdStrike, SentinelOne, Microsoft Defender) at the telemetry and API level.\n\n - Understands detection logic, alert triage workflows, and how SOC teams consume EDR output.\n\n - Expert proficiency in SQL and experience with various database architectures including relational (PostgreSQL) and graph (Neo4j).\n\n - Experience building GraphQL backends.\n\nTravel Required\n\nWe are a fully remote company, and this job may require up to 5% of travel to be successful.\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.\n\nIn accordance with various State’s transparency regulations, we provide the following salary range information for this position:\n\n - $170,000-$235,000. The exact salar","salary_min":170000,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","security","data-pipeline","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/57d96033-2e76-4f73-87e3-b11e0586ae19/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-28T17:05:02.973Z","expires_at":"2026-11-13T16:56:49.782877Z","created_at":"2026-07-29T14:06:49.210478Z","updated_at":"2026-10-14T16:56:49.786898Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/57c9b8cb-94a1-4f56-92b0-bf6c43faced6"},{"id":"32f96f5d-3861-489e-a560-61bef8285832","company_id":"c587b06c-b6f0-4d1d-b694-6fb6abc2a6bb","title":"Senior Backend Engineer, Managed Services","slug":"senior-backend-engineer-managed-kubernetes-slurm-413ef4c6","description":"Who We Are \n Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n The Way We Work\n The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\n \n Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\n Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\n Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\n Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\n Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\n Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\n \n  \n What We're Looking For \n Lightning AI runs one of the largest AI-native clouds, with 25,000+ H100, B200, and GB300 GPUs powering organizations building, training, and deploying AI at scale. To deliver that experience, our Managed Services team builds the systems that make complex GPU infrastructure simple, reliable, and easy for customers to use without managing the underlying infrastructure themselves.\n As a Senior Backend Engineer on the Managed Services team, you'll build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across our GPU fleet. Your work will turn raw GPU capacity into production-ready environments where customers can seamlessly train models, run inference, and deploy AI workloads.\n This isn't a traditional SaaS backend role. You'll solve challenging distributed systems and cloud infrastructure problems, building the automation and platform capabilities that keep large-scale Kubernetes and Slurm environments scalable, observable, and resilient.\n This role is based in one of our U.S. office hubs (San Francisco, NYC, or Seattle, with SF and NYC preferred), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. \n  \n What You’ll Do \n \n Design, build, and operate backend services in Go or Python that power Lightning AI's managed infrastructure platform.\n Develop control plane services that provision, orchestrate, and manage Kubernetes and Slurm clusters across large-scale GPU infrastructure.\n Build distributed systems that automate cluster lifecycle management, workload scheduling, infrastructure provisioning, and platform operations..\n Develop platform capabilities using Kubernetes APIs, controllers, operators, and other cloud-native technologies.\n Improve the reliability, scalability, security, and observability of our managed platform through automation and operational excellence.\n Diagnose and resolve complex production issues across Kubernetes, distributed systems, networking, and cloud infrastructure.\n Collaborate with infrastructure, AI, and platform engineering teams to shape the future of our cloud platform.\n Contribute to technical design, architecture, mentoring, engineering best practices, and on-call operations.\n \n  \n What You’ll Need \n Required Qualifications \n \n Significant professional experience designing, building, and operating production backend systems using Go or Python.\n Deep hands-on experience with Kubernetes or Slurm, including operating large-scale production environments.\n Strong understanding of distributed systems, cloud-native architectures, and production infrastructure.\n Experience designing and building scalable backend services, APIs, and automation for infrastructure or platform operations.\n Strong understanding of networking, storage, and cloud infrastructure fundamentals.\n Familiarity with observability, CI/CD, testing, production operations, and incident response.\n Ability to own complex technical projects while collaborating effectively across engineering teams.\n \n Ideal Experi","salary_min":180000,"salary_max":250000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","distributed-systems","gpu","cloud","pytorch","backend"],"apply_url":"https://job-boards.greenhouse.io/lightningai/jobs/7816026003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-27T17:01:38Z","expires_at":"2026-11-13T16:55:32.777438Z","created_at":"2026-07-28T14:03:40.498631Z","updated_at":"2026-10-14T16:55:32.780392Z","company_name":"Lightning AI","company_slug":"lightning-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=lightning.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/32f96f5d-3861-489e-a560-61bef8285832"},{"id":"e02f64f7-97ca-4df9-8c15-82b1bb16fb2f","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Backend Infrastructure Engineer","slug":"backend-infrastructure-engineer-03331b6c","description":"BACKEND INFRASTRUCTURE ENGINEER\n\n\n\nYou'll work on the infrastructure that makes Firecrawl fast and reliable against a web that constantly changes and fights back. This is deep systems work: keeping success rates high against sites with aggressive defenses, managing the proxy layer that powers reliable data collection at scale, and pushing throughput and reliability under heavy, spiky load. When Firecrawl \"just works\" on a site that tries hard to stop it, that's this team. You'll own real infrastructure from day one, not tickets in a backlog.\n\nSalary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.\n\nJob Type: Full-Time\n\nExperience: 3+ years in backend, networking, or infrastructure engineering\n\nWork Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nIn September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 187k+ GitHub stars, putting us in the top 40 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain the infrastructure that powers reliable data collection at scale\n\n - Improve success rates against sites with aggressive defenses\n\n - Own the health, rotation, and cost efficiency of the proxy layer\n\n - Push throughput and reliability under heavy, spiky, real-world load\n\n - Debug hard, intermittent failures across the stack and make them stay fixed\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You've worked on networking, proxies, or high-throughput backend systems\n\n - You're relentless about reliability and comfortable in messy, adversarial problem spaces\n\n - You can own a system end to end and keep it healthy in production\n\n - You move fast and close the loop. You'd rather ship, measure, and iterate than perfect on paper\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Someone who wants clean, well-defined problems only\n\n - Someone who avoids on-call or production ownership\n\n - Someone who needs the environment to be stable to do their best work\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n \n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto), based on impact, not tenure\n\n - Own a piece: Gain competitive equity in what you're helping build\n\n - Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge\n\n - Parental leave: 12 weeks fully paid, for all parents\n\n - Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally\n\n - Team offsites: A change of scenery, minus the trust falls\n\n - Sabbatical: 3 paid months off after 4 years, do something fun and new\n\n \n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works\n\n - Life \u0026 Disability insurance: Employer-paid basic life and AD\u0026D, short-term disability, and long-term disability. Coverage for life's curveballs\n\n - Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you\n\n - Mental health: Tal","salary_min":217000,"salary_max":233000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","data-pipeline","payments","backend","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/6840bbee-aae5-4846-97a2-ec2e764ee75b/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-12T22:41:44.402Z","expires_at":"2026-11-13T17:00:13.969257Z","created_at":"2026-07-15T14:17:50.121535Z","updated_at":"2026-10-14T17:00:13.973483Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e02f64f7-97ca-4df9-8c15-82b1bb16fb2f"},{"id":"d5192073-f94f-47b0-86ca-1d1fd96e6448","company_id":"251179ba-863f-4ac2-a567-71afc97b19ae","title":"Senior Software Engineer - Backend","slug":"senior-software-engineer-product-81c303bd","description":"About the Role\nParallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them.\nWe're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.\n","salary_min":155000,"salary_max":175000,"location":"Vancouver, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","api-design","autonomous-vehicles","robotics","backend"],"apply_url":"https://jobs.lever.co/paralleldomain/f1f6ce2a-abe4-44a3-98d0-5e308b9205bc/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:07:35.276Z","expires_at":"2026-11-13T16:59:08.054725Z","created_at":"2026-07-09T14:11:34.368817Z","updated_at":"2026-10-14T16:59:08.057336Z","company_name":"Parallel Domain","company_slug":"parallel-domain","company_logo_url":"https://www.google.com/s2/favicons?domain=paralleldomain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d5192073-f94f-47b0-86ca-1d1fd96e6448"},{"id":"8333c0e7-dc79-45ec-9c98-403befd279b2","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, Backend","slug":"senior-software-engineer-backend-79fab68c","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Backend Software Engineer at Harvey, you’ll play a pivotal role in constructing the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration experiences for law firms.\n\n\n\nYou will design systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.\n\n\n\nThis role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and build foundational backend infrastructure including authentication, permissions, feature flagging, notifications, and document management integrations\n\n - Build and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teams\n\n - Lead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controls\n\n - Maintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal data\n\n - Collaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiences\n   \n   \n\n\nWHAT YOU HAVE\n\n - 4+ years (post-BS/MS) of backend-focused software engineering experience on platform and/or product-oriented teams\n\n - Experience working across the stack to ship user-facing features with measurable impact\n\n - Strong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architectures\n\n - Familiarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrations is a plus\n\n - Strong attention to detail\n\n - Experience building backend platforms that can support multiple product lines\n\n - Strong programming skills and general Computer Science knowledge\n\n\n\n\nWHAT WE OFFER\n\n - Be part of building something special as a founding member of our Toronto team\n\n - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home\n   \n   \n\n\nADDITIONAL INFORMATION \n\n - Location: Toronto, Ontario (Hybrid with flexibility)\n\n - Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this role\n\n\n\n\nCOMPENSATION\n\nCAD $164,000 - $225,000\n\n\n\nWe are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-KT1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabi","salary_min":164000,"salary_max":225000,"location":"Toronto, Canada","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","agents","api-design","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/18454695-e72d-40a5-a6c1-99677ef516ad/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-11T13:39:11.48Z","expires_at":"2026-11-13T16:55:17.903807Z","created_at":"2026-06-28T14:02:19.129975Z","updated_at":"2026-10-14T16:55:17.90654Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8333c0e7-dc79-45ec-9c98-403befd279b2"},{"id":"a944334e-23f0-4033-b1c8-307c9e7c7124","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Backend ","slug":"helix-ai-engineer-backend-infrastructure-13269072","description":"Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.\n We're looking for a backend engineer to build the services and infrastructure behind Figure's consumer mobile application, including auth, payments, and tooling.\n You'll own systems end to end, from identity and billing to delivery pipelines, internal dashboards, and the cloud platform they run on.\n Responsibilities:  \n \n \n Design and build the core auth and identity service, including KYC integration.\n \n Build payments and billing infrastructure: payouts, transactions, disputes, and reconciliation.\n \n Own the media ingestion and delivery pipeline for high-volume data ingestion.\n \n Own the cloud platform: environments, infrastructure as code, CI/CD, observability, and cost.\n \n Ship the notification system across push, SMS, and email.\n \n Build the web interface and dashboards that give the business visibility into tasks, supply, and quality.\n \n Requirements:  \n \n \n 5+ years building production backend systems at scale.\n \n Strong distributed systems fundamentals: APIs, queues, storage, and event-driven architecture.\n \n Hands-on experience with payments, billing, or fintech infrastructure.\n \n Hands-on infrastructure experience: AWS or GCP, Terraform or similar, containers, and CI/CD.\n \n Proficiency in Go, Python, or similar.\n \n Experience shipping systems that move real money for real users, with the reliability bar that implies.\n \n Bonus Qualifications: \n \n \n Marketplace or gig platform experience (Uber, TaskRabbit, DoorDash, or similar).\n \n Fintech background (Square, Stripe, DailyPay, or similar).\n \n Experience with media storage and processing pipelines at scale.\n \n Experience as the first or only infrastructure owner on a small team.\n \n The US base salary range for this full-time position is $200,000 - $400,000 per year. \n The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.","salary_min":200000,"salary_max":400000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","distributed-systems","cloud","payments","backend"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4685172006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T21:42:25Z","expires_at":"2026-11-13T16:56:22.313994Z","created_at":"2026-05-29T14:18:08.491663Z","updated_at":"2026-10-14T16:56:22.316744Z","company_name":"Figure AI","company_slug":"figure-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=figure.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a944334e-23f0-4033-b1c8-307c9e7c7124"},{"id":"7944746a-5d41-4ef2-aaa7-2d8843ccd2f5","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Software Engineer, Backend","slug":"software-engineer-backend-6db9c75f","description":"ABOUT THE ROLE\n\nYou'll build and scale the backend systems that power millions users creating content every day on Gamma. This role is about solving real distributed systems challenges at scale while maintaining the performance and reliability users expect from a modern AI-powered product. You'll work across the full stack, shipping features that directly impact how people create and share their ideas.\n\nWhile this role is backend focused, you'll work across the entire product with our frontend, product, and design teams. Our full TypeScript stack is built on modern technologies including React, Node.js, PostgreSQL, Redis, and cutting-edge AI models.\n\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.\n\n\n\n\nWHAT YOU'LL DO\n\n - Scale backend systems to hundreds of millions of users while maintaining high performance and availability\n\n - Build and optimize APIs that power real-time collaborative editing and AI content generation\n\n - Design and implement distributed systems that handle massive scale with reliability\n\n - Ship features across the full stack, working closely with frontend engineers to deliver polished experiences\n\n - Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization\n\n - Collaborate with product and design to turn ideas into production-ready features\n\n\n\n\nWHAT YOU'LL BRING\n\n - 3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design\n\n - Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack\n\n - Experience scaling systems to handle millions of users and high throughput workloads\n\n - Strong understanding of PostgreSQL, Redis, or similar database technologies\n\n - Passion for building APIs, scaling complex systems, and creating excellent web applications\n\n - Curiosity and attitude that matches your technical knowledge\n\n - Prior experience working with websockets, streaming, or scaling inference workloads (Nice to have)\n\n\n\n\nCOMPENSATION RANGE:\n\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits \u0026 equity.\n\n\n\nFinal offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.\n\n\n\nIf you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.","salary_min":180000,"salary_max":310000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","generative-ai","api-design","backend"],"apply_url":"https://jobs.ashbyhq.com/gamma/a546c0a8-4c8b-471c-909c-9c7b34d1f64d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T23:19:52.231Z","expires_at":"2026-11-13T16:57:30.917813Z","created_at":"2026-05-27T14:07:56.804097Z","updated_at":"2026-10-14T16:57:30.922033Z","company_name":"Gamma","company_slug":"gamma","company_logo_url":"https://www.google.com/s2/favicons?domain=gamma.app\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7944746a-5d41-4ef2-aaa7-2d8843ccd2f5"}],"page":1,"per_page":20,"total":224,"total_is_exact":true,"total_pages":12}