Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. This is a unique and rare opportunity to get in on the ground floor of a fast-growing business and help shape the technology that will power transactional and analytical workloads for Fortune 500 companies, start-ups, and everything in between. If contributing to the design and development of this new, first-of-its-kind database excites you, then this role may perfectly fit your career aspirations. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! Aurora DSQL's Platform Engineering team tackles some of the most challenging problems in distributed systems at hyperscale. How do you accurately meter billions of transactions across a globally distributed, active-active database in real-time while ensuring every customer is billed correctly? How do you build observability systems that provide deep insights into a distributed SQL engine without impacting performance? How do you benchmark a database that can scale infinitely and make those tools available to customers worldwide? How do you predict capacity needs for a system that can grow from zero to massive scale in minutes? The team designs and builds novel distributed systems across four critical domains: metering infrastructure with sophisticated test contracts to guarantee billing accuracy; monitoring, logging, and distributed tracing solutions that give engineers and customers unprecedented visibility into system behavior; open-source benchmarking automation that validates DSQL's performance against industry-leading databases; and ML-based capacity forecasting systems that optimize resource utilization across AWS regions. This work directly impacts every DSQL customer and shapes how they experience the service. The team develops primarily in Rust and uses CDK to define cloud infrastructure, working at the intersection of distributed systems, observability, and operational excellence. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees