About The Position

AWS Specialist Engineering is seeking an experienced Software Development Manager to lead a team of 8 engineers in developing and implementing AI-powered tools and agentic SDLC practices. This role combines people leadership, product strategy, and technical vision to transform how our organization builds software. You will own the end-to-end strategy for AI tool development, drive adoption across teams, and establish best practices that will scale beyond AWS Specialist Engineering. The ideal candidate brings strong engineering management experience, a passion for AI/ML technologies, and the ability to influence and educate stakeholders across a large organization. As a Software Development Manager in AWS Specialist Engineering, you will lead a team of 8 engineers developing AI tools and processes that enhance software development practices across the organization. You will own the product and technical strategy for implementing an agentic Software Development Life Cycle (SDLC), working at the intersection of AI/ML innovation and practical engineering excellence. Your team will build tools that empower engineers to work more efficiently, make better decisions, and deliver higher-quality solutions. You'll collaborate with stakeholders across AWS Specialist Engineering to understand their needs, identify opportunities for AI-driven improvements, and ensure successful adoption of new tools and practices. AWS Specialist Engineering is at the forefront of helping customers solve their most complex technical challenges. Our team combines deep technical expertise with innovative thinking to deliver solutions that matter. As we embrace AI and agentic approaches to software development, we're building the tools and practices that will define how modern engineering teams work. Your team will play a critical role in this transformation, creating the foundation for how AWS Specialist Engineering leverages AI throughout the development lifecycle. You'll work with passionate engineers who are excited about pushing boundaries and making a measurable impact on developer productivity and satisfaction. Our culture emphasizes continuous learning, experimentation, and knowledge sharing across the organization.

Requirements

  • 3+ years of engineering team management experience
  • 7+ years of engineering experience
  • 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle 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

Nice To Haves

  • 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

Responsibilities

  • Lead and develop a team of 8 software engineers, providing mentorship, career development, and performance management
  • Define and execute product strategy for AI tools and agentic SDLC implementation across AWS Specialist Engineering
  • Drive technical strategy and architecture decisions for scalable, production-ready AI-powered development tools
  • Partner with stakeholders across the organization to understand needs, gather requirements, and ensure successful adoption
  • Deliver high-quality products and features on schedule while maintaining engineering excellence and operational standards
  • Define and execute the product roadmap for AI-powered development tools
  • Build and mentor a high-performing engineering team
  • Drive technical architecture decisions and ensure scalable, reliable solutions
  • Partner with teams across the organization to implement and evangelize best practices
  • Measure impact and iterate based on customer feedback and usage patterns

Benefits

  • 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
  • parental leave
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