Senior Software Development Engineer, DynamoDB Index and Search

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ 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

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USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Amazon DynamoDB is a serverless, distributed NoSQL database that delivers single-digit millisecond performance at virtually any scale. DynamoDB's indexing infrastructure powers Global Secondary Indexes (GSIs), enabling customers to efficiently query their data across alternate access patterns without managing additional infrastructure.

We are looking for a Senior Software Development Engineer to help design, build, and operate the distributed indexing infrastructure at the heart of DynamoDB. You will work on problems at the intersection of distributed systems, stream processing, storage engines, and large-scale data replication — ensuring that secondary indexes remain consistent, performant, and highly available as the underlying table data changes continuously.

The role includes designing and evolving the index replication pipeline that propagates mutations from base tables to secondary indexes in near-real time; building index lifecycle mechanisms that handle creation, backfill, compaction, rebalancing, and recovery across partitioned datasets at massive scale; and optimizing the storage, query, and cost efficiency of secondary indexes across all DynamoDB partitions and regions.

You will help determine how indexes are created, maintained, scaled, and recovered while the underlying DynamoDB data continues to change at millions of requests per second. You will also shape how indexing infrastructure integrates with DynamoDB's partitioning, replication, admission control, and query-processing systems — delivering predictable performance across latency, throughput, freshness, availability, and cost.

This is an opportunity to shape the future of DynamoDB's indexing capabilities — from foundational architecture through customer launch and operation at DynamoDB scale.