{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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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 team owns how NodeZero turns raw pentest telemetry into the findings, attack paths, reports, and insights our customers act on. As Horizon3 has grown in both customer count and customer size. Our team is taking on the largest architectural change in Horizon3's history: a ground-up rework of pentest data processing from a batch system into a real-time, event-driven microservice architecture.\n\nWe're laying the foundation to make Horizon3 best-in-class for enterprise pentests at scale — handling hundreds of thousands of hosts and streaming findings as they're discovered. Customers go from waiting weeks for insights to getting them in hours, fundamentally transforming how the entire product suite feels to use.\n\nThis work demands platform engineering to build the infrastructure foundation, paired with deep cybersecurity domain understanding to translate years of batch-centric business logic into real-time processing. As a Senior Engineer on this team, you will be one of the people we trust to own a hard piece of that rework end to end.\n\n\n\nIn this role, you will:\n\n - Design, build, and operate event-driven services that process pentest data in real time event streaming, stream processing, storage, schema evolution, and replayable processing.\n\n - Take ambiguous, high-impact problems from \"we need to solve this\" through design, implementation, rollout, and long-term operation, without needing the path drawn for you.\n\n - Help solve challenges around converting large per-pentest datasets, and converting that to a cohesive story over time. Tackling challenging problems such as understanding when two hosts are the same even with different IP addresses.\n\n - Translate existing batch-era logic — finding enrichment, attack path analysis, host and identity correlation, reporting — into streaming-friendly designs without regressing fidelity.\n\n - Solve genuinely hard distributed systems problems at scale: breaking out a half-decade hold monolithic data-storage for an engineering org that is rapidly growing in both scale of customers and number of engineering teams.\n\n - Set a high bar for operational excellence — SLOs, instrumentation, alerting, on-call, and incident response, as this system becomes central to every pentest Horizon3 runs.\n\n - Raise the technical bar around you through design reviews, technical writing, clear API contracts with neighboring teams, and durable decision records. Interface with other platform teams and attack-engineering teams.\n\n\n\n\nREQUIRED EDUCATION/EXPERIENCE\n\n - Minimum of 4+ years of experience in software engineering or a similar role.\n\n - Proficiency in Python and/or Go, including experience with large-scale codebases.\n\n - Production experience with relational databases (PostgreSQL) — schema design, migrations, and query performance at scale.\n\n - Experience building and operating services in AWS or a comparable cloud, with containers and orchestration (Docker, Kubernetes).\n\n - Hands-on experience with observability tooling (Datadog, OpenTelemetry, or similar) in production.\n\n - Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.\n\n\n\n\nDESIRED SKILLS\n\n - Production experience with event-driven architectures or streaming platforms (Kafka, Kinesis, Flink, or similar)\n\n - Experience with designing distributed systems at scale, AWS a bonus.\n\n - Experience migrating a meaningful system from batch to streaming, or decomposing a monolith into services, while it stayed live for customers.\n\n - Graph database experience (Neo4j) and graph data modeling and SQL.\n\n - Background in cybersecurity, pen","salary_min":199750,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","security","cloud","microservices","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":"2026-09-29T13:36:43.432038Z","created_at":"2026-08-29T13:37:07.759091Z","updated_at":"2026-08-30T13:36:43.571069Z","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":"0223cfe4-98fd-4376-8efe-3be62e75ecb8","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Engineer, Back-End (Security Controls)","slug":"senior-engineer-back-end-security-controls-b79d69e4","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\nROLE OVERVIEW:\n\nThe Senior Backend Engineer will join our world-class software engineering team as a key contributor to both user-facing product launches and platform enhancements and stability. You will own our security controls integration platform, abstracting the complexity of the EDR ecosystem from the rest of our system. Core responsibilities include developing per-vendor normalizers, building live API pipelines, defining internal schemas, and managing versioning, deprecations, fault tolerance, and integration health monitoring. You'll also collaborate with the broader backend engineering team on cross-cutting scale and reliability work.\n\n\n\n\nWHAT YOU’LL DO\n\nResponsibilities\n\n - Design and build dedicated normalizers per EDR vendor, with the testing rigor to keep them trustworthy as vendor APIs evolve\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   \n\n\nWHAT YOU’LL BRING\n\n - Deep experience building and maintaining third-party API integrations at scale\n\n - Hands-on familiarity with EDR platforms and an understanding of how SOC teams consume EDR data\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   \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, 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   \n\n\nPREFERRED EDUCATION/EXPERIENCE\n\n - Experience with various database architectures including relational (PostgreSQL) and graph (Neo4j).\n\n - Experience building GraphQL backends.\n\n - Experience managing and maintaining production infrastructure.\n\n - Experience building platform capabilities for internal teams.\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\n\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core va","salary_min":199750,"salary_max":270250,"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/7305c82f-fddd-4e11-a539-34a401cc9cc5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T17:11:14.423Z","expires_at":"2026-09-29T13:36:42.868673Z","created_at":"2026-08-29T13:37:07.081074Z","updated_at":"2026-08-30T13:36:43.001684Z","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/0223cfe4-98fd-4376-8efe-3be62e75ecb8"},{"id":"10579f66-e97b-43e5-9d59-1a8696be47c9","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Staff Software Engineer, Backend - Platform (Core AI Automation)","slug":"staff-software-engineer-backend-platform-core-ai-automation-966823ec","description":"Ready to do the most impactful work of your career? 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 As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company.\n What you'll do: \n \n Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails\n Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination\n Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership\n Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus\n Mentor engineers on AI system design techniques, coding standards, and production-readiness practices for LLM-based applications\n \n Required skills and experience: \n \n 8+ years in software engineering with demonstrated experience architecting distributed systems and shipping production AI/ML applications\n Experience working with LLM-based applications, familiarity with - measuring and improving grounding, reducing hallucinations, and building guardrails for reliability\n Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale\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 $218,025 — $256,500 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":218025,"salary_max":256500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","llm","distributed-systems","backend"],"apply_url":"https://www.coinbase.com/careers/positions/8154983?gh_jid=8154983","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T19:58:52Z","expires_at":"2026-09-29T13:39:26.627894Z","created_at":"2026-08-25T18:29:06.403591Z","updated_at":"2026-08-30T13:39:26.765697Z","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/10579f66-e97b-43e5-9d59-1a8696be47c9"},{"id":"4461991d-5d96-4686-98f5-ee1b498e1462","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Backend Engineer, AI Engineering: Duo Chat","slug":"backend-engineer-ai-engineering-duo-chat-e1281718","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 Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow Service. You'll also work in the GitLab Rails monolith, where Chat connects with the product.\n You'll own scoped parts of the system, ship small features and improvements with minimal guidance, and collaborate with the team on larger projects. You'll work alongside senior and staff engineers who will partner with you on design and support your growth.\n What you’ll do \n \n Develop secure, well-tested, and performant features and improvements for GitLab Duo Chat.\n Implement and extend agentic flows in Python using LangGraph, registered through the Flow Registry and served by the Duo Workflow Service.\n Integrate Chat capabilities with the GitLab Rails monolith, including its GraphQL application programming interface (API).\n Write maintainable code that meets our internal standards for a high-scale environment, including tests with every merge request.\n Review code within our Code Review Guidelines and respond promptly to contributions from people who don't work for GitLab.\n Identify technical debt and propose and implement solutions that improve the team's efficiency.\n Collaborate with Product Management, User Experience, and Frontend team members to improve product quality, security, and performance.\n Participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to help troubleshoot product operations, security operations, and urgent engineering issues.\n \n What you’ll bring \n \n Professional experience with Python, including building and testing production services.\n Working proficiency with Ruby on Rails, or a willingness to learn it, since a meaningful part of Chat lives in the GitLab monolith.\n Exposure to, or strong interest in, building on top of large language models, including prompting, tool or function calling, evaluation, and the failure modes of non-deterministic systems.\n Experience designing and building APIs, including diagnosing and optimizing performance issues, and comfort working with well-documented third-party services.\n A security-minded development approach that applies secure coding guidelines early in the development process.\n Clear and concise written communication about technical problems and iterative solutions, which is essential in a remote, largely asynchronous environment.\n Manage work independently, organize priorities, and ask for help when an issue is taking longer than expected.\n Demonstrate GitLab's values by collaborating effectively in a fully remote, intensely iterative environment.\n Experience with LangGraph, LangChain, or a comparable agent orchestration framework.\n Experience with GraphQL and RSpec.\n Experience with the GitLab product as a user or contributor.\n Experience working on a remote, globally distributed team.\n \n About the team \n We're part of GitLab's AI Engineering organization and own the AI-powered chat experience embedded across the GitLab platform. Chat Engine is the backend-focused team within the Duo Chat group. We're backend, frontend, and AI specialists working asynchronously across time zones, using issues, merge requests, and documentation as our main collaboration tools. We focus on expanding generative and agentic AI capabilities, improving the performance and reliability of chat workflows, and strengthening the debugging and testing foundations that help us run AI features safely at sc","salary_min":115200,"salary_max":194400,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","api-design","llm","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8698314002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T21:35:39Z","expires_at":"2026-09-29T13:39:06.024406Z","created_at":"2026-08-25T18:28:58.952361Z","updated_at":"2026-08-30T13:39:06.158891Z","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/4461991d-5d96-4686-98f5-ee1b498e1462"},{"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":["data-pipeline","healthcare","robotics","cloud","mlops","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":"2026-09-29T13:48:26.684286Z","created_at":"2026-08-25T18:33:17.099953Z","updated_at":"2026-08-30T13:48:26.832676Z","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","data-pipeline","mlops","search","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":"2026-09-29T13:44:19.61187Z","created_at":"2026-08-25T18:31:28.399268Z","updated_at":"2026-08-30T13:44:19.743626Z","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":["data-pipeline","search","mlops","api-design","distributed-systems","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":"2026-09-29T13:44:18.654249Z","created_at":"2026-08-25T18:31:28.357542Z","updated_at":"2026-08-30T13:44:18.787137Z","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":["nlp","llm","distributed-systems","agents","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":"2026-09-29T13:39:07.670601Z","created_at":"2026-08-25T18:28:59.021218Z","updated_at":"2026-08-30T13:39:07.802955Z","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":["llm","agents","nlp","distributed-systems","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":"2026-09-29T13:39:06.799763Z","created_at":"2026-08-25T18:28:58.991001Z","updated_at":"2026-08-30T13:39:06.941834Z","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":"c21b7e27-b8e3-4454-a7da-f9bbe93fac56","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff Backend Software Engineer - Agent Platform","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 Java , 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 b","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","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":"2026-09-29T13:49:25.758184Z","created_at":"2026-08-25T18:33:46.394179Z","updated_at":"2026-08-30T13:49:25.883939Z","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":"3efbb278-0b45-4349-bf42-310cc3de4d55","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Backend Software Engineer - Agent Platform","slug":"senior-backend-software-engineer-agent-platform-f7233283","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 Senior 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 Java , 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 ","salary_min":132000,"salary_max":182000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","cloud","security","backend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7814855003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-02T11:27:59Z","expires_at":"2026-09-29T13:49:23.777197Z","created_at":"2026-08-25T18:33:46.310063Z","updated_at":"2026-08-30T13:49:23.907831Z","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/3efbb278-0b45-4349-bf42-310cc3de4d55"},{"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 - $187,937-$208,819. The exact salar","salary_min":187937,"salary_max":208819,"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":"2026-09-29T13:36:41.805097Z","created_at":"2026-07-29T14:06:49.210478Z","updated_at":"2026-08-30T13:36:41.948662Z","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":["pytorch","distributed-systems","api-design","cloud","gpu","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":"2026-09-29T13:33:57.96149Z","created_at":"2026-07-28T14:03:40.498631Z","updated_at":"2026-08-30T13:33:58.094179Z","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":"01d63fcc-58e9-44c0-85db-377be397b76d","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Senior Software Engineer, Backend - Platform (Core AI Automation)","slug":"senior-software-engineer-backend-platform-core-ai-automation-cb920117","description":"Ready to do the most impactful work of your career? 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 As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions.\n What you’ll be doing (ie. job duties): \n \n Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring.\n Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks.\n Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability.\n Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions.\n Strengthen engineering quality across the team by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response.\n \n What we look for in you (ie. job requirements): \n \n 5+ years of experience in software engineering, with proven expertise in designing, building, and maintaining production services using a microservices architecture.\n Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.\n Proficiency in Python and Golang (or comparable backend languages), with experience integrating third-party AI models and APIs into production workflows.\n Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces.\n Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs).\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n \n Nice to haves: \n \n Experience navigating rapid company growth (e.g., from startup to mid-size).\n Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.\n Background in AI/LLM infrastructure is a strong plus.\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":["agents","llm","generative-ai","data-pipeline","rag","microservices","backend"],"apply_url":"https://www.coinbase.com/careers/positions/8051871?gh_jid=8051871","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-21T18:04:21Z","expires_at":"2026-09-29T13:39:26.127677Z","created_at":"2026-07-24T14:08:52.915197Z","updated_at":"2026-08-30T13:39:26.263861Z","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/01d63fcc-58e9-44c0-85db-377be397b76d"},{"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\n\n\nSalary Range: $235,000–$260,000/year\n\nEquity Range: Competitive equity — details shared during the process.\n\nLocation: San Francisco, CA (Onsite)\n\nJob Type: Full-Time\n\nExperience: 3+ years in backend, networking, or infrastructure engineering\n\nVisa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.\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 - the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nWe hit 8 figures in ARR in year one and more than doubled it in year two. We have 170k+ GitHub stars, 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.\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/year (SF, U.S.-based), 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/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development — Expense up to $1,000/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 spouse/kids) — no weird loopholes, just care that works\n\n - Life \u0026 Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs\n\n - Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind\n\n - Doctegrity telehealth — Talk to a doctor from your couch\n\n - 401(k) plan — Retirement might be a ways off, but future-you will thank you\n\n - Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit\n\n - Pet insurance — Because fur babies are family too\n\n \n\n\nAVAILABLE TO SF-BASED EMPLOYEES\n\n - SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy\n\n - E-Bike transportation — A loaner electric bike to get you around the city, on us\n\n\n\n\nINTERVIEW PROCESS\n\nApplication Review — Send us your work and a quick note on why this excites ","salary_min":235000,"salary_max":260000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","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":"2026-09-29T13:45:43.198283Z","created_at":"2026-07-15T14:17:50.121535Z","updated_at":"2026-08-30T13:45:43.32803Z","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":["robotics","autonomous-vehicles","data-pipeline","api-design","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":"2026-09-29T13:41:57.20934Z","created_at":"2026-07-09T14:11:34.368817Z","updated_at":"2026-08-30T13:41:57.342713Z","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":"62aac160-a924-4733-81cc-1cd5c3933962","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer (Backend) - AI/ML","slug":"senior-software-engineer-backend-aiml-aba682a3","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n About the team \n The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.\n What you will do \n \n Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.\n API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.\n Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.\n Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.\n Oncall : Participate in the daytime oncall rotation along with the rest of the team.\n Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.\n \n What you will bring along\n \n 5+ years of software engineering experience in production environments \n Exposure to working directly with AI/ML technologies\n Backend development experience in TypeScript or Python, with a focus on API design and service architecture\n A high level of ownership and can drive features from concept to production with minimal supervision\n Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders\n Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture\n \n Nice to have \n \n Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases\n Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment\n Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus\n \n \n  \n #LI-remote\n The typical starting salary for this role in the US is\n $141,000 — $195,000 USD \n The typical starting salary for this role in US Premium Markets is\n $158,000 — $232,000 USD \n Compensation \n For roles based in the  United States , t he typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.\n These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.\n An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.\n If you have any questions or comments about compensation as a candidate, please get in touch with us at  paytransparency@clickhouse.com . \n Perks \n \n Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. \n Healthcare - Employer contributions towards your healthcare. \n Equity in the company - Every new team member who joins our company receives stock options. \n Time off - Flexible time off in the US, generous entitlement in other countries. \n A $500 Home office setup if you’re a remote employee. \n Global Gatherings – We believe in the power of in-pers","salary_min":158000,"salary_max":232000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","code-generation","agents","healthcare","embeddings","backend","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/6009092004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-01T12:17:16Z","expires_at":"2026-09-29T13:44:34.367944Z","created_at":"2026-06-28T14:13:49.670499Z","updated_at":"2026-08-30T13:44:34.495832Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/62aac160-a924-4733-81cc-1cd5c3933962"},{"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 a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.\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 WHAT YOU'LL DO \n \n Design and build the core auth and identity service, including KYC integration.\n Build payments and billing infrastructure: payouts, transactions, disputes, and reconciliation.\n Own the media ingestion and delivery pipeline for high-volume data ingestion.\n Own the cloud platform: environments, infrastructure as code, CI/CD, observability, and cost.\n Ship the notification system across push, SMS, and email.\n Build the web interface and dashboards that give the business visibility into tasks, supply, and quality.\n \n WHAT WE'RE LOOKING FOR \n \n 5+ years building production backend systems at scale.\n Strong distributed systems fundamentals: APIs, queues, storage, and event-driven architecture.\n Hands-on experience with payments, billing, or fintech infrastructure.\n Hands-on infrastructure experience: AWS or GCP, Terraform or similar, containers, and CI/CD.\n Proficiency in Go, Python, or similar.\n Experience shipping systems that move real money for real users, with the reliability bar that implies.\n \n NICE TO HAVE \n \n Marketplace or gig platform experience (Uber, TaskRabbit, DoorDash, or similar).\n Fintech background (Square, Stripe, DailyPay, or similar).\n Experience with media storage and processing pipelines at scale.\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 between $200,000 - $400,000 annually.\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":["cloud","payments","distributed-systems","robotics","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":"2026-09-29T13:36:22.731023Z","created_at":"2026-05-29T14:18:08.491663Z","updated_at":"2026-08-30T13:36:22.866837Z","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":["api-design","distributed-systems","generative-ai","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":"2026-09-29T13:38:13.63358Z","created_at":"2026-05-27T14:07:56.804097Z","updated_at":"2026-08-30T13:38:13.768966Z","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"},{"id":"e4d74511-aa09-4fba-b84d-d7a12a03faf5","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Software Engineer - Backend Services","slug":"software-engineer-backend-services-d11bb694","description":"Software Engineer - Backend Services \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values .   \n This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid   \n Who We Need   \n Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.   \n This Opportunity   \n Patients, doctors, and medical researchers deserve technology that is reliable, secure, and capable of turning health data into meaningful insight. As part of the Intelligence Platform and Applications team, you’ll use your expertise in backend engineering, distributed systems, cloud-native infrastructure, and production operations to build the robust service layer that intelligent healthcare applications depend on. \n  \n This is an opportunity to contribute to meaningful backend services and features end to end: from service design and API development to deployment, debugging, observability, reliability, and security. You’ll work across platform, application, data, and AI-enabled workflows, helping ensure that services are well-architected, operationally sound, and built for long-term maintainability. \n  \n If you’re motivated by purpose and enjoy building durable backend systems that support learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful. \n We are seeking engineers who:   \n \n Design and build production-grade backend services: Experienced in service architecture, API design, async-first Python development, testing, packaging, debugging, and operating backend systems in production. \n \n Contribute to backend features and services end to end: Capable of taking well-scoped services and features from design through implementation, deployment, monitoring, and ongoing maintenance. \n Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs. \n Bring strong Python backend craftsmanship: Experienced with async programming, modern Python service patterns, well-tested code, and tools such as  uv , ruff , and ty to deliver reliable, maintainable systems. \n Support AI-enabled workflows through strong backend foundations: Experienced integrating, or contributing to integrations with, LLM APIs such as OpenAI, Azure OpenAI, or equivalent into backend services, with attention to reliability, security, latency, error handling, and maintainability. \n Understand modern AI service integration patterns: Practical exposure to agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and an understanding of how these patterns support tool orchestration, service integration, and AI workflow design. \n Improve deployment and operational reliability: Able to contribute to CI/CD configuration, deployment stage setup, pipeline hardening, environment debugging, rollback strategy, and production readiness. \n Build reliable cloud-native systems: Hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, infrastructure-as-code patterns, AKS, Terraform/Terragrunt, and deployment automation. \n Build secure services by default: Experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP-aligned practices, secrets handling, and security patching within SLA. \n Manage artifacts and dependencies responsibly: Experienced with or exposed to artifact registry workflows such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, package provenance, or similar dependency management practices. \n Collaborate across boundaries: Partner effectively with platform, ML, application, data, and product engineers to transform concepts into scalable, reliable backend solutions. \n Demonstrate strong engineering ownership: Own meaningful features or service components, contribute to technical design, raise code quality, support peers, and make pragmatic trade-offs that balance speed, quality, security, and reliability. \n Act with purpose: Apply thoughtful engineering and security-first principles t","salary_min":110000,"salary_max":145000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","healthcare","llm","cloud","distributed-systems","agents","backend"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6002807004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T17:14:16Z","expires_at":"2026-09-29T13:45:28.62373Z","created_at":"2026-05-27T14:15:20.672768Z","updated_at":"2026-08-30T13:45:28.754118Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e4d74511-aa09-4fba-b84d-d7a12a03faf5"}],"page":1,"per_page":20,"total":231,"total_is_exact":true,"total_pages":12}