About The Position

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.

Requirements

  • 2+ years of non-internship professional software development experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Nice To Haves

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

Responsibilities

  • Innovate architecture that address scalability, reliability, and performance for large-scale distributed systems
  • Design and develop core storage and metadata, 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, and in-memory caching
  • 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

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • Inclusive Team Culture
  • Mentorship & Career Growth
  • Work/Life Balance
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