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
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