Are you interested in building next-generation hyper-scale distributed systems in the cloud? Amazon Redshift is a rapidly growing, fast, and fully managed petabyte-scale data warehouse service in the cloud. Tens of thousands of customers rely on Redshift to analyze exabytes of data every day to power their most critical analytics workloads. Join the Amazon Redshift Data Foundation team to solve some of the most challenging problems in petabyte-scale distributed data systems. Our team owns the critical foundation that underpins Redshift's storage, metadata, durability, and reliability guarantees — the cornerstone on which every query, every table, and every customer workload depends. You will dive deep into complex interactions within the Redshift engine, tackling large-scale, high-complexity problems that span data storage architecture, durability mechanisms, and performance optimization at massive scale. We're looking for an engineer with a strong understanding of distributed systems, storage internals, and the curiosity to ask the right questions as we build a best-in-class cloud analytics database engine. You will design and deliver features that keep Redshift at the forefront of cloud analytics — ensuring data is always safe, always accessible, and always fast. Our team owns the foundational data systems that keep Amazon Redshift running reliably and performantly at petabyte scale. We build and maintain the critical storage, metadata, and catalog infrastructure that manages every table, schema, permission, and byte of customer data across the fleet. Our work spans storage architecture and data organization, in-memory scaling and caching, data durability and recovery mechanisms, and multi-warehouse metadata consistency. We tackle large-scale, high-complexity problems that sit at the intersection of distributed systems, database internals, and cloud infrastructure. We value operational excellence: automating away toil, building deep observability, and resolving complex customer issues.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level