Join the DynamoDB 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 DynamoDB'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 DynamoDB 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 DynamoDB 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 DynamoDB's 9-figure CapEx 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 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 your 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
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Are excited about exploring AI-assisted development tools while maintaining focus on core software engineering excellence
Key job responsibilities As a Software Development Engineer III on the DynamoDB Capacity and Customer Entitlement team, you will:
Set engineering direction for the team
Design, implement, and maintain production-grade capacity management systems that optimize fleet scaling across DynamoDB'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 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 DynamoDB users who need reliable capacity and internal AWS teams requiring efficient resource allocation. Some days bring on-call operational challenges; others focus on innovation and prototyping new solutions. You'll balance software development with mentoring engineers, conducting design reviews, and documenting your work to scale knowledge across the team.
About the team
The DynamoDB Capacity and Customer Entitlement (CCE) team is responsible for ensuring one of AWS's most critical services has the infrastructure capacity to serve millions of customers reliably while optimizing CapEx investments. Our mission is to build intelligent automation systems that balance customer demand with operational efficiency across all DynamoDB fleets. We're a collaborative, engineering-focused team that values innovation, operational excellence, and continuous learning. You'll work alongside experienced engineers and data scientists who are passionate about solving complex distributed systems problems at planetary scale. We embrace AI-assisted development tools, encourage experimentation, and believe in scaling impact through mentorship and knowledge sharing. Our culture emphasizes ownership, technical depth, and seeing the direct business impact of our work.
Basic qualifications
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
Preferred qualifications
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
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