Software Development Engineer II, DynamoDB
Listed on 2026-06-02
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Software Development
Software Engineer, Cloud Engineer - Software, Backend Developer, DevOps
Software Development Engineer II, DynamoDB
Job : | Amazon Development Center U.S., Inc.
Job SummaryJoin the Dynamo
DB Capacity and Customer Entitlement (CCE) team and help scale one of the world's largest distributed database services, managing massive global infrastructure across AWS regions. As an SDE II, you’ll design and build production systems that optimize capacity planning and fleet scaling for Dynamo
DB’s infrastructure, directly impacting millions of customers worldwide.
In this role, you’ll own end‑to‑end software solutions that balance customer demand with infrastructure efficiency across multiple Dynamo
DB fleets (Load Balancing, Routing, Storage, Log Propagation, Backup/Restore, Replication). You’ll work on challenging distributed systems problems, building automated scaling algorithms, capacity management tools, and operational workflows that enable Dynamo
DB to maintain its 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 Dynamo
DB’s 9‑figure Cap Ex planning and operational efficiency - Exercise the full software development lifecycle, from initial design and architecture through implementation, testing, and production launch
- Gain deep systems understanding across Dynamo
DB’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 Dynamo
DB 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 your engineering solutions can transform how Amazon manages infrastructure at planetary scale
You'll thrive here if:
- 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
- Design, implement, and maintain production‑grade capacity management systems that optimize fleet scaling across Dynamo
DB’s AWS regions and multiple fleets (Load Balancing, Routing, Storage, Log Propagation, Backup/Restore, Replication) - 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 Dynamo
DB’s infrastructure investment - Develop integration points across Dynamo
DB’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, utilisation 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 Dynamo
DB 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
You’ll start your day writing code, building automation workflows, developing ML‑integrated forecasting systems, or creating data pipelines that analyse capacity utilisation patterns. You’ll collaborate with…
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