Staff Data Engineer, Cloud Optimization

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.   Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.   With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index ! About the Role Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture. As a Staff Engineer in Cloud Optimization, you will have the opportunity to work across all of the engineering teams at Attentive, focusing on implementing and driving cost optimizations across our Software Stack. You will collaborate and work with engineers, product managers and our finance team. Your work will drive millions of cost savings, provide enhanced visibility and improve our cost model. What You’ll Accomplish Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams Provide guidance and mentorship to engineers on cost-optimization best practices Collaborate with teams across the organization to implement cost-saving measures Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues Proactively lead infrastructure initiatives that have a company-wide impact Partner with engineering teams to influence cost-effective architectural and design choices Develop automation workflows to enhance team productivity and efficiency Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms Your Expertise 2+ years of experience in FinOps or cloud cost management 5+ years of experience in cloud infrastructure management, development or related roles Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and leadership abilities You have development experience working with data warehouse tools like Snowflake, Clickhouse, Trino, etc  You’ve experience with open source data storage formats such as Apache Iceberg, Parquet, Arrow, or Hudi You are knowledgeable about data modeling, data access, and data replication techniques, such as CDC.  Ability to work collaboratively in a cross-functional team environment Proven experience as a Software Engineer with a focus on high throughput scalable systems. In-depth knowledge of high throughput processing technologies such as Spark, Flink, and/or Kafka.  Proficiency in Java and strong understanding of object-oriented design, data structures, algorithms, and optimization. What We Use Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get competitive  perks and benefits , from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-HB1 By applying for this position, your data will be processed as per Attentive's Privacy Policy . Attentive Company Values Default to Action - Move swiftly