Amazon Development Center U.S., Inc.
Technology
SoftwareDevelopmentEngineer,RDSPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, RDS Platform at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Database maintenance, Cloud platform. Build and operate patching platform. Schedule database engine upgrades”
What You'll Achieve.
Make patching seamless; Achieve zero-apparent downtime
Industry & Context.
Distributed systems problems
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design experience, Experience programming one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science
What You'll Do.
Build and operate patching platform
Schedule database engine upgrades
Manage version deprecations
Develop AI-powered scheduling
Implement near-zero downtime upgrades
Integrate GenAI for policy setup
Integrate Amazon Q for management
How You'll Work.
Team & Collaboration
PEs and Sr. SDEs; Broader databases space
Full Job Description
RDS Platform scheduling team owns the patching scheduling domain for all RDS and Aurora engines. This includes the end-to-end patching and maintenance platform for Amazon RDS — one of AWS's largest and most critical managed database services. Our team builds and operates the systems that automatically schedule, orchestrate, and safely deploy database engine upgrades, OS patches, and version deprecations across millions of customer resources worldwide. We own key services including Bluestone (the central scheduling engine), Anaha, RDS Event Service, AWS Health Updater service, and AWF patching schedulers, and we are responsible for the Henosis upgrade rollout policy framework that gives customers blast-radius control over their fleet upgrades. As a software engineer on this team, you will join a team working on high-impact, customer-facing challenges at massive scale — our north star is to make patching completely seamless, achieving zero-apparent downtime for all maintenance activities. You'll work on initiatives including AI-powered scheduling that replaces heuristics with intelligent, usage-pattern-based recommendations, near-zero downtime OS upgrades, GenAI-driven policy setup, and Amazon Q integration for upgrade management — all while directly improving the security posture and operational experience for hundreds of thousands of AWS customers. If you want to solve hard distributed systems problems, ship features used by some of the largest customers in the world, and shape the future of how the world's most popular managed database service handles maintenance, this is the team to be on. Come shape the future of some of the largest AWS services operating at scale, and have an opportunity to work with PEs and Sr. SDEs across RDS, Aurora and the broader databases space. Your work will have AWS-wide impact. Interested? Ping usmanr@ to learn more! About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills li
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