SoftwareDevelopmentEngineer,ConsensusandDistributedLockingSystems,TransactionalServices

Join the team that powers distributed consensus across AWS. We build and maintain the systems that enable distributed consensus for locks, leader election, group membership and work distribution across AWS. Our distributed computing primitives are part of the critical building blocks behind services like S3, DynamoDB, CloudWatch, and more. This role offers a unique opportunity to solve complex distributed systems challenges that impact services across AWS. We are looking for engineers who thrive on technical challenges and passionate about building highly available, durable systems with minimal dependencies. And collaborate with talented peers to design and implement robust solutions, make critical architectural decisions, and ensure operational excellence. If you are excited about distributed systems engineering, with the opportunity to build and operate systems with impact across AWS services, this role is for you. Key job responsibilities - You work with the team to design, build, and operate systems that are stable, highly available, and performant. - You solve difficult problems, applying appropriate technologies and architectural patterns. - You are proficient in a broad range of design approaches and know when it is appropriate to use them (and when it is not). Your solutions are pragmatic navigating constraints. - You create maintainable software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. - You focus on operational excellence, understanding how decisions impact operational costs, and take on projects that make software easier to maintain. A day in the life - Designing and driving technical decisions that balance competing priorities and constraints - Implementing changes at a high quality meeting stringent requirements for availability, durability, and performance - Creating and implementing automation that improve system reliability and operational efficiency - Working