Amazon Development Center U.S., Inc.
Technology
SoftwareDevelopmentEngineerII,DynamoDB
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer II, DynamoDB at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Capacity management, Automation. Design production systems. Build production systems”
What You'll Achieve.
Optimize infrastructure investment; Achieve high auto-approval rates; Maintain industry-leading performance; Maintain availability; Optimize operational efficiency; Optimize cost
Industry & Context.
Complex distributed systems problems; Systems thinking; Root cause analysis
On-call rotations
What They're Looking For.
Must Have
3+ years professional software development, 2+ years system design or architecture, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design, Bachelor's degree or foreign equivalent
Nice to Have
3+ years full software development lifecycle, Bachelor's degree in computer science
What You'll Do.
Design production systems
Build production systems
Optimize capacity planning
Optimize fleet scaling
Own end-to-end software solutions
Balance customer demand
Balance infrastructure efficiency
Build automated scaling algorithms
Build capacity management tools
Build operational workflows
Design and develop production systems
Exercise full software development lifecycle
Integrate with every component
Develop AI coding tools
Build machine learning prediction systems
Predict demand patterns
Optimize capacity allocation
Partner with leadership
Shape technical direction
Contribute to innovation culture
Design capacity management systems
Implement capacity management systems
Maintain capacity management systems
Own software development lifecycle
Build automated workflows
Process customer capacity requests
Optimize infrastructure investment
Develop integration points
Create monitoring solutions
Create alerting solutions
Create observability solutions
Provide visibility into capacity health
Provide visibility into utilization patterns
Provide visibility into optimization opportunities
Participate in on-call rotations
Resolve operational issues
Drive continuous improvement initiatives
Align technical solutions
Mentor junior engineers
Develop best practices
Influence technical direction
Build automation workflows
Develop ML-integrated forecasting systems
Create data pipelines
Analyze capacity utilization patterns
Collaborate with service teams
Partner with product managers
Design integration points
Conduct design reviews
How You'll Work.
Team & Collaboration
Cross-functional teams; Service teams; Product managers; Leadership
Communication Scope
Design discussions
Process & Methodology
Design documents, Strategic planning
Full Job Description
Job Summary for SDE II - DynamoDB Capacity and Customer Entitlement Team 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 ca
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