Engineering Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Engineering Manager to lead a team building and operating the cloud brain of Microsoft Defender's real-time protection services. This involves managing ML models, large-scale data platforms, and threat intelligence pipelines that operate at planetary scale with low-latency and high-availability requirements for over a billion users.

What you'd actually do

  1. Own the cloud brain of Microsoft Defender’s real-time protection, including file threat defense, URL and web reputation, network protection, and the threat-intelligence pipelines and verdict services that support them.
  2. Lead a high-performing team of engineers across real-time systems, large-scale data platforms, machine learning, and threat intelligence.
  3. Drive the modernization of the protection stack onto Kubernetes, modern .NET, and ARM-based compute.
  4. Unify fragmented threat intelligence into a single platform and set of APIs that the broader Microsoft Security ecosystem can build on.
  5. Scale AI-driven detection capabilities powered by hundreds of ML models and graph-based intelligence.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 6+ years people management experience.
  • 4+ years of people management experience, including experience leading multiple teams and managing other managers.
  • Experience designing, delivering, and operating large-scale distributed systems or cloud services in production.
  • Proven track record operating always-on, low-latency, high-availability cloud services at global scale (high request-per-second

What the JD emphasized

  • low-latency cloud services
  • always-on
  • low-latency
  • global scale
  • high-availability cloud services

Other signals

  • hundreds of ML models
  • AI-driven detection
  • planetary scale
  • low-latency
  • always-on