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Software Development Engineer II, DynamoDB; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    Backend Developer, AWS, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 143700 - 194400 USD Yearly USD 143700.00 194400.00 YEAR
Job Description & How to Apply Below
Position: Software Development Engineer II, DynamoDB (AWS)

Software Development Engineer II, DynamoDB

Job :  | Amazon Development Center U.S., Inc.

Job Summary for SDE II - DynamoDB Capacity and Customer Entitlement (CCE) team:
Join the DynamoDB Capacity and Customer Entitlement (CCE) team to help scale one of the world’s largest distributed database services. As an SDE II you will design and build production systems that optimize capacity planning and fleet scaling for DynamoDB’s infrastructure, directly impacting millions of customers worldwide. You will own end‑to‑end software solutions that balance customer demand with infrastructure efficiency across multiple DynamoDB fleets, work on challenging distributed systems problems, build automated scaling algorithms, capacity management tools, and operational workflows that enable DynamoDB to maintain industry‑leading performance and availability while optimizing 9‑figure infrastructure investment.

What

makes this role exciting
  • Design and develop production systems for capacity automation that directly influence DynamoDB’s 9‑figure Cap Ex planning and operational efficiency.
  • Exercise the full software development lifecycle from design and architecture through implementation, testing, and production launch.
  • Gain deep systems understanding across DynamoDB’s entire architecture, building solutions that integrate with every component from routing to storage to backup and restore systems.
  • Develop and apply best practices for leveraging AI coding tools to accelerate development velocity and improve code quality across the team.
  • Build machine learning‑integrated prediction systems that predict demand patterns and optimize capacity allocation across global infrastructure.
  • Partner with DynamoDB leadership and cross‑functional teams to shape the technical direction of capacity management for one of AWS’s most critical services.
  • Contribute to a culture of innovation where engineering solutions can transform how Amazon manages infrastructure at planetary scale.
You’ll thrive here if you
  • Love solving complex distributed systems problems that require strong software engineering fundamentals and systems thinking.
  • Want to see the direct business impact of your code measured in operational efficiency and cost optimization.
  • Enjoy building deep technical understanding of large‑scale architecture and how components integrate end‑to‑end.
  • Are excited about exploring AI‑assisted development tools while maintaining focus on core software engineering excellence.
Key job responsibilities
  • Design, implement, and maintain production‑grade capacity management systems that optimize fleet scaling across DynamoDB’s AWS regions and multiple fleets.
  • Own the full software development lifecycle, from design documents through implementation, testing, deployment, and operational support for capacity automation projects.
  • Build automated workflows that process customer capacity requests, achieving high auto‑approval rates while optimizing DynamoDB’s infrastructure investment.
  • Develop integration points across DynamoDB’s architecture, gaining deep systems understanding from load balancing through storage and replication.
  • Create monitoring, alerting, and observability solutions that provide visibility into capacity health, utilization patterns, and optimization opportunities across global infrastructure.
  • Participate in on‑call rotations, resolve operational issues with long‑term fixes, and drive continuous improvement initiatives.
  • Partner with DynamoDB service teams, product managers, and leadership to align technical solutions with business objectives.
  • Mentor junior engineers through code reviews and design discussions while developing best practices for leveraging AI coding tools.
  • Influence technical direction through architecture discussions and strategic planning sessions.
A day in the life

You’ll start your day writing code, building automation workflows, developing ML‑integrated forecasting systems, or creating data pipelines that analyze capacity utilization patterns. You’ll collaborate with DynamoDB service teams (storage, routing, replication) to design integration points and partner with product managers on strategic planning. Your customers are millions of…

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