Description
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.
About the team
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.
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.
About the team
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.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 3+ years of Software Engineer, Software Developer, or related occupational experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 3+ years of Software Engineer, Software Developer, or related occupational experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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.
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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 - 184,900.00 - 250,200.00 USD annually
