Software Development Manager, AWS DynamoDB

Are you passionate about data analysis and performance optimization? DynamoDB Performance Analysis team is seeking a Software Development Manager to lead a team that develops expertise in data analysis across the core systems of the DynamoDB stack. You'll drive the expansion of components for which the team owns performance qualification and analysis, and bringing industry standards to identify performance bottlenecks. In this role, you'll work with partner teams to align on requirements and expectations, delivering solutions that empower services to analyze latency data, including latency attribution. You'll support data analysis initiatives while building a team focused on scalable self-service capabilities for performance analysis across DynamoDB development teams. Key job responsibilities - Lead and grow a high-performing engineering team focused on data analysis and performance optimization across DynamoDB's core systems - Define team charter, vision, and roadmaps to deliver standardized, scalable self-service capabilities for performance analysis - Partner with cross-functional teams to align on requirements and deliver solutions for latency data analysis and attribution - Drive architectural decisions and technical strategy for performance qualification tools and bottleneck identification systems - Establish mechanisms to scale team operations while maintaining end-to-end ownership of delivered software systems A day in the life You'll start your day reviewing performance metrics and team progress, then dive into technical discussions with engineers about new analysis capabilities. Throughout the day, you'll collaborate with partner teams to understand their performance requirements, guide roadmap prioritization decisions, and mentor your engineers on complex data analysis challenges. You'll balance hands-on technical guidance with strategic planning, ensuring your team delivers impactful solutions that help DynamoDB services identify and resolve performance bottlenecks.

The team owns the developer infrastructure and AI adoption programs that underpin the entire DynamoDB organization. On the infrastructure side, the team builds and operates the test clusters that every DynamoDB engineer relies on daily—designing automated cluster provisioning, cross-region configuration, lifecycle management, and reliability improvements that directly reduce developer toil and accelerate feature delivery. On the AI side, the team drives org-wide adoption of AI-assisted development practices across DynamoDB teams, tracking and improving key performance metrics and operational quality indicators. This is a high-visibility, cross-cutting role that requires balancing hands-on infrastructure delivery with strategic program leadership. The manager will lead a team of engineers responsible for shipping automation that keeps test environments healthy and available, while simultaneously championing AI readiness across DynamoDB. Success is measured by concrete outcomes: reducing time-to-first-production, improving build and merge velocity, maintaining cluster reliability SLAs, and raising the organization's AI readiness—all while navigating team attrition, cross-team dependencies, and evolving security requirements.