Amazon Metadata Jobs (NOW HIRING)

Are you interested in building next-generation hyper-scale distributed systems in the cloud. Amazon Redshift is a rapidly growing, fast, and powerful 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
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.
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
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