Innovate on approaches to reduce update latency and customer impact through intelligent scheduling, automated safety mechanisms, and progressive rollout strategies
Raise the engineering bar across the organization through mentorship, operational excellence, design patterns, and architecture reviews
Partner with product and business stakeholders to translate customer pain points into technical strategy, balancing long-term platform investments with near-term delivery
Influence the broader AWS organization on fleet management, lifecycle automation, and software delivery best practices
About the team
You will work on systems that schedule, orchestrate, and execute millions of fleet maintenance operations, balancing service health requirements with customer preferences. The challenges include building intelligent scheduling at scale, orchestrating complex multi-step workflows across diverse database engines, deploying updates with minimal disruption, and communicating proactively with customers throughout the process.
We are a globally distributed team with engineers across Europe and the US, solving problems that directly impact hundreds of thousands of AWS customers every day.
Experience designing, building, operating, and managing large-scale distributed systems or web services
Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Experience with AWS technologies
Experience leading engineering teams as a mentor or tech lead
Experience developing and executing/delivering product and technical roadmaps
10+ years of engineering experience
Experience managing large server fleets
Experience working cross functionally to implement and optimize workflows
Experience with architecting highly available systems that utilize load balancing, horizontal scalability and high availability
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor's degree in computer science or equivalent
Experience with database internals, managed database services, or infrastructure automation
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