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.
** Databases, and Distributed Systems experience is mandatory; Storage and C++ experience is a plus.
Key job responsibilities
Innovate system architectures that address scalability, reliability, and performance for large-scale distributed systems
Design and develop core storage, metadata, and catalog subsystems that operate reliably at petabyte scale
Solve large-scale, high-complexity problems spanning data durability, availability, consistency, and performance
Debug deep, cross-cutting issues that require understanding the full stack — from query planning to distributed storage to on-disk data formats
Drive performance improvements in storage I/O paths, metadata access patterns, in-memory caching, and catalog operations
Improve reliability and durability guarantees through resilient system design, automated recovery, and defensive engineering
Mentor and grow junior engineers through design reviews, code reviews, and technical guidance
Raise the bar on operational excellence by building deep observability, reducing operational toil, and strengthening the team's ability to resolve complex customer-impacting issues
About the team
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