About The Position

The Managed Core Compute (MC2) organization is at the heart of Azure’s infrastructure, delivering scalable, secure, and performant compute platforms that power mission-critical workloads across the globe. MC2 offer IaaS (Virtual Machines, Containers) and PaaS (Service Fabric) platforms built on hyper scale distributed services serving 10B+ requests a month, and ensuring availability, resiliency and security of entire Azure fleet. As a Principal Engineer in MC2, you will lead the design and development of planetary scale foundational compute services, drive architectural innovation, and mentor engineering talent across teams. You will play a pivotal role in shaping the future of Azure’s compute fabric, with an emphasis on AI integration, service reliability, and operational excellence. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 6+ 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 are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Nice To Haves

  • Master'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 Bachelor'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 equivalent experience.
  • 8+ years of experience in software engineering, with a strong track record of delivering large-scale distributed systems.
  • Deep expertise in cloud infrastructure, compute platforms, or container orchestration.
  • Proven ability to lead through influence, drive cross-org initiatives, and mentor senior ICs.
  • Experience integrating AI/ML into engineering systems.
  • Excellent communication skills and a demonstrated ability to drive clarity in ambiguous environments.
  • Passion for building inclusive teams and fostering a culture of engineering excellence.
  • Experience with Azure infrastructure or similar hyperscale cloud platforms.
  • Familiarity with service reliability engineering (SRE) practices and operational excellence.
  • Demonstrated impact in evolving organizational structures or leading transformation initiatives.

Responsibilities

  • Technical Leadership: Architect and deliver distributed systems that are secure, scalable, and resilient. Lead technical strategy and execution across multiple teams and services.
  • AI-Driven Transformation: Champion the integration of AI into engineering workflows, including on-call support, test generation, and developer productivity tooling.
  • Cross-Team Collaboration: Partner with PMs, architects, and other engineering leaders to define and deliver end-to-end solutions. Drive alignment across horizontal and vertical teams.
  • Mentorship and Culture: Model engineering excellence and inclusive practices. Mentor senior engineers and contribute to a culture of continuous learning and innovation.
  • Customer Impact: Define and track success metrics that reflect customer value. Ensure services meet or exceed SLAs and deliver tangible improvements to customer experience.
  • Strategic Influence: Contribute to long-term technical vision and roadmap planning. Influence organizational structure and investment decisions to accelerate innovation
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