Software Development Manager, Leo Mac, Leo

Amazon Amazon · Big Tech · Redmond, WA · Software Development

Software Development Manager to lead a team building a MAC Analyzer tool that uses ML-based anomaly detection and predictive capabilities for network diagnostics, and an automation framework for MAC features. The role involves people leadership, automation, data analytics, and ML integration to improve diagnostic processes and ensure feature validation.

What you'd actually do

  1. Own the vision and delivery of the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
  2. Own the strategy and execution of an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
  3. Hire, mentor, and grow a high-performing team of SDEs focused on MAC analytics and automation
  4. Set technical direction and priorities, balancing short-term deliverables with long-term architectural investments
  5. Drive development of self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns

Skills

Required

  • 3+ years of engineering team management experience
  • 10+ years of engineering 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
  • 5+ years of industry experience with Telecom, Data Plane networking, distributed systems or similar

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
  • Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
  • 10+ years of team management and building (including coaching and mentoring) experience
  • Experience with telecom systems - wireless, wireline, optical, satellite. Experience with high performance data networking on embedded platforms. Experience with silicon based forwarding fabrics a plus.
  • Background in wireless/MAC layer systems or telecommunications
  • Experience with telemetry data pipelines and observability tooling
  • Experience with release qualification processes and CI/CD integration

What the JD emphasized

  • ML-based anomaly detection
  • predictive capabilities
  • self-improving analytical pipelines
  • automated triage
  • root cause analysis
  • reporting from raw telemetry data
  • automated validation of MAC features

Other signals

  • ML-based anomaly detection
  • predictive capabilities
  • self-improving analytical pipelines
  • automated triage
  • root cause analysis
  • reporting from raw telemetry data
  • automated validation of MAC features