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.

• Build a global optimization engine that generates placement plans (blueprint) to avoid hotspots based on resource constraints, move cost, and availability goals.
• Design and implement centralized algorithms to maximize the utilization of system throughput resources, ensuring swift mitigation of hotspots.
• Collaborate with distributed LB execution layers to coordinate plan rollout and shard migration.
• Partner with Performance, Capacity, Search and Copilot teams to align placement strategies with performance and SLA targets.
• Contribute to observability and debugging tools to ensure transparency and traceability of placement decisions.

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of software development experience, including 2+ years in distributed systems or infrastructure.
• Solid coding skills in C#, C++, or Python.
• Experience with large-scale scheduling, optimization, or resource management systems.
• Familiarity with cloud platforms (Azure preferred) and telemetry pipelines.
• Experience applying ML models or leveraging LLMs to optimize decision-making is preferred.
• Excellent problem-solving and collaboration skills.

Other Requirements:

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: