Software Development Manager , Aurora Postgresql Team

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

Manager for Aurora PostgreSQL team focused on performance engineering, leveraging AWS infrastructure and machine learning to optimize database performance and drive the roadmap for feature and performance improvements.

What you'd actually do

  1. lead and participate in efforts around performance bottleneck analysis, improvements in software driven by new hardware, benchmarking efforts, automated performance regression testing, workload optimizations and capacity sizing.
  2. driving the performance roadmap to deliver cost-effective and scalable database services.
  3. use and further develop your deep knowledge in areas including experiment design, implementation, and data analysis.
  4. innovate using machine learning techniques to understand customer workload patterns and identify specific optimizations to improve overall application performance.
  5. work with the Aurora engineering teams and customers to analyze workloads and engineer solutions to drive performance improvements.

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

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

  • performance engineering
  • optimization
  • performance improvements
  • machine learning techniques

Other signals

  • innovate using machine learning techniques to understand customer workload patterns
  • identify specific optimizations to improve overall application performance