Principal Software Engineer

Microsoft•Redmond, WA
•$142,800 - $304,200

About The Position

The Privileged Access Control (PAC) team within Microsoft’s Identity & Network Access organization is building the next generation of Microsoft’s just-in-time privileged-access platform. Its systems replace standing privileges with policy-driven, time-bound access that is approved and fully auditable, protecting high-value production and customer environments. This high-impact individual contributor role provides technical leadership across the privileged-access ecosystem and expands governance and provisioning products across human and non-human identities. The engineer shapes the architecture of highly available security services, drives convergence across existing access platforms, and enables Microsoft engineers and automated workloads to obtain only the access they need when justified and authorized. The work sits at the intersection of identity, security, authorization, distributed systems, and platform engineering.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages including C, C++, C#, Java, or Python, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft background and Microsoft Cloud background check upon hire or transfer and every two years thereafter.

Nice To Haves

  • 5+ years of experience architecting and designing highly available, resilient, and high-scale distributed systems.
  • 5+ years of experience developing backend services using C#.
  • Experience with security, identity, authorization, privileged access management, or related technologies.

Responsibilities

  • Design and develop features for large-scale, distributed software services and solutions using AI-assisted development methods.
  • Communicate complex technical concepts clearly and effectively to customers and stakeholders across organizational boundaries.
  • Design systems with well-defined interfaces across multiple components, participate in code reviews, and use data and telemetry to inform engineering decisions.
  • Build high-quality services and components that are modular, secure, reliable, diagnosable, actively monitored, and reusable.
  • Champion and model the effective use of AI throughout the software development lifecycle and operational processes.
  • Embody Microsoft’s Culture and Values.
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