Software Dev Engineer II, EBS Placement
About The Position
Join the team that powers one of AWS's most critical services - Elastic Block Store (EBS)! The EBS Placement team builds systems that optimize how millions of storage volumes are distributed across AWS's vast infrastructure. Our work directly impacts every EBS customer, from startups to the world's largest enterprises, who rely on us to serve exabytes of data and trillions of I/Os daily. We are seeking talented engineers to help evolve how we place EBS volumes on storage servers. We tackle complex technical challenges at massive scale - from optimizing storage density and improving I/O performance to ensuring data durability/availability in the face of multitude of failure modes. You'll work on distributed systems that make real-time decisions about where to place customer data while balancing multiple competing objectives including performance, availability, durability, and cost-effectiveness. What makes our team unique is the opportunity to work at the intersection of infrastructure optimization and customer experience. When you join us, you'll be part of evolving how EBS delivers storage services at unprecedented scale and configurability. We're working on exciting initiatives like building predictable performance guarantees for storage operations, developing intelligent resource modeling and simulation systems, and creating next-generation placement algorithms that will enable us to serve more customers with better performance while optimizing resource utilization. If you're excited about solving complex distributed systems problems that directly impact millions of customers, we'd love to talk to you!
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Nice To Haves
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience effectively using AI-assisted development tools (e.g., Kiro, Cursor, Claude Code, GitHub Copilot) to accelerate data analysis, software design, implementation, review, and investigation.
Responsibilities
- Designing and writing code to update placement decision engine for any number of reasons including launch of new storage feature, utilization of new server capability, adding/revising optimization functions and so on.
- Diving into data to make design decisions or measure effectiveness of changes you make.
- Reasoning about a wide range of factors in the decisions involved in above, such as variability of AWS infrastructure and customer workload patterns worldwide, complex interplay between competing optimization functions, diversify placement of data replicas, staleness in data used by decision engine etc.
- Debugging complex distributed systems issues that require careful analysis and creative problem-solving.
- Review proposals and code from peers from the team as well as partner teams.
- Providing consultation to partner teams on decisions like planning out product rollout and migrations, capacity planning, fast mitigation of customer impact with workload movement capabilities in placement systems, root-causing performance degradations and so on.
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
