Software Development Manager - Aws Glue, Glue and Genai for Data Processing

Amazon Amazon · Big Tech · East Palo Alto, CA · Software Development

Software Development Manager to lead a team building agentic AI systems for AWS Glue, EMR, and Athena, focusing on automated Spark upgrade and migration agents, and a managed analytics service providing AI assistants and agents access to tools. The role involves owning design, implementation, testing, and deployment, driving technical decisions at the intersection of GenAI, distributed systems, big data, and ML, and partnering with senior leadership and customers.

What you'd actually do

  1. Lead and grow an engineering team building AI agents for Analytics
  2. Own design, implementation, testing, and deployment end-to-end
  3. Drive technical decisions at the intersection of GenAI, distributed systems, big data, and machine learning
  4. Mentor engineers on complex technical trade-offs and career growth
  5. Partner with senior executives on business targets, resource planning, and technical strategy

Skills

Required

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems 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

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

  • build AI agents that solve real problems for data engineers at scale
  • agentic AI systems
  • automated code transformation
  • conversational interfaces
  • rigorous data quality validation
  • SQL migration across AWS Analytics services
  • Managed Analytics MCP Service
  • AI assistants
  • agents secure access to Spark upgrade, migration, troubleshooting, and code recommendation tools
  • 0->1 product area
  • AI-powered developer tools
  • scale your team and impact
  • build new agent capabilities
  • ship production AI systems to millions of AWS customers

Other signals

  • AI agents for data engineers
  • agentic AI systems across AWS Glue, EMR, Athena
  • automated code transformation
  • conversational interfaces
  • SQL migration across AWS Analytics services
  • Managed Analytics MCP Service
  • AI assistants (Kiro, Claude, Cline)
  • secure access to Spark upgrade, migration, troubleshooting, and code recommendation tools
  • 0->1 product area
  • AI-powered developer tools
  • scale your team and impact
  • build new agent capabilities
  • ship production AI systems to millions of AWS customers