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# Software Dev Manager, DDB Index and Search

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $184,900.0 - $250,200.0
- **Contract:** Permanent contract
- **Skills:** Code Review, Databases, Distributed Data Store, Amazon DynamoDB, Search Algorithms, Software Product Management, Software Engineering, Information Technology, Build Process, Text Analysis, Software Coding, Software Version Control
- **Published:** October 29, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28145167/Software-Dev-Manager-Ddb-Index-Search-Washington-Seattle-7375

## About the Role

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

 - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
 - Experience partnering with product or program management teams
 - 3+ years of engineering team management experience
 - 7+ years of engineering experience
 - Experience hiring, developing, and managing high-performing technical teams
 - Experience leading architecture and delivery of distributed databases, storage systems, replication, or transaction infrastructure.
 - Experience delivering substantial changes across multiple teams while maintaining production reliability.

Preferred Qualifications

 - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
 - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

## Description

Your team will tackle these questions across the search stack-from index structures and storage integration to distributed query execution and relevance evaluation. The work includes evaluating graph-based and clustering-based indexing approaches, compression, caching, text analysis, and ranking. You will guide decisions about what to build, how to measure it, and how to evolve the architecture as customer workloads grow.

As the SDM, you will own the team's roadmap, engineering execution, and operational readiness. You will work with senior and principal engineers to resolve architectural questions, establish measurable launch criteria, and turn exploration into production capabilities. You will hire and develop engineers, build technical leadership within the team, and create an environment where engineers can make decisions and carry them through to customer outcomes.

This is an opportunity to shape a new database capability from its foundational architecture through launch, helping developers build semantic discovery, recommendations, and retrieval for generative AI applications directly on DynamoDB., Lead and grow an engineering team building vector, full-text, and hybrid search; develop engineers with depth in search algorithms, database internals, and distributed execution.

 - Own the technical roadmap, sequencing algorithm evaluation, integration, performance qualification, and customer delivery into achievable milestones.
 - Guide architecture for vector and text indexes, including choices among retrieval algorithms, memory and disk layouts, compression, and update strategies.
 - Lead delivery of query planning and execution across partitions, including filter placement, candidate selection, ranking, and combining results.
 - Establish evaluation practices that reveal how recall, relevance, latency, and cost change with dataset size, filter selectivity, write rate, and workload skew.
 - Partner with storage and database teams to support search under continuous data changes, infrastructure failures, and growing workloads.
 - Make deliberate scope and staffing decisions, resolve dependencies, and ensure testing and rollout plans develop alongside implementation.
 - Own production readiness and team health, including observability, deployment safety, incident learning, and sustainable on-call practices.