Software Development Manager, Aza

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Software Development

Software Development Manager for Amazon's People eXperience and Technology (PXT) organization, focusing on a generative AI assistant for HR systems. The role involves leading a team to build and operate conversational AI, expanding HR experiences, developing platform capabilities, and ensuring operational fundamentals like accuracy and latency. The manager will drive vision, technical design, build, and operations for production AI systems.

What you'd actually do

  1. Build and nurture a team of software developers
  2. Shape team goals by developing a deep understanding of our customer's business processes and success criteria
  3. Develop and execute a long-term architecture while balancing short term commitments
  4. Work closely with the team to architect and develop the best technical design and approach to solve complex problems
  5. Effectively partner with engineering and non-engineering groups across the organization to deliver on own goals

Skills

Required

  • 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
  • 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
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

Nice to have

  • 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

What the JD emphasized

  • generative AI assistant
  • conversational AI
  • production AI systems
  • advancements in the GenAI technology landscape
  • high level of ownership for the product vision, technical architecture, and project delivery

Other signals

  • generative AI assistant
  • conversational AI
  • platform capabilities (skills, memory, personalization)
  • operational fundamentals (accuracy, latency, quality)
  • design, build, and ship production AI systems