Senior Software Engineer

Microsoft • Redmond, WA

4d

About The Position

Microsoft 365 is the fastest growing cloud services business in Microsoft. M365 brings together cloud versions of our most trusted communications and collaboration products like Exchange, SharePoint, OneDrive and Skype with the desktop suite of Office products in an always up-to-date integrated service offering.
CapSense is the capacity planning and decisioning platform under the Microsoft 365 Core organization. We are building the foundation to ensure M365 has the right infrastructure, in the right place, at the right time to power Microsoft 365 and Substrate experience—from Exchange and Teams to Copilot and future AI driven workloads.
We build large scale systems that transform complex demand, supply, lifecycle, and operational signals into actionable plans and automated decisions that directly influence multi-billion-dollar infrastructure investments. Our mission is to build the reliable, intelligent, and scalable capacity planning and allocation platforms that improve predictability, utilization, and cost efficiency across the fleet.
We are looking for a Senior Software Engineer to lead the critical software solutions, with a strong focus on automation, data driven decisioning, and AI assisted planning. This role combines deep engineering fundamentals with architectural ownership, technical leadership, and a forward-looking mindset toward applying AI responsibly at hyperscale.
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 4+ 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 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years of experience with distributed systems, backend services, and data intensive applications.
• Demonstrated ability to own system architecture, make sound technical trade‑offs, and deliver resilient, maintainable solutions.
• Experience in working with cloud platforms (Azure preferred) and operating services in production.
• Experience in building capacity planning, forecasting, optimization, or decision support systems.
• Background in data platforms, analytics pipelines, or ML/AI enabled systems, including model integration and lifecycle considerations.
• Familiarity with AI assisted engineering patterns, such as using LLMs or predictive models to augment decision making and operational workflows.

Responsibilities

• Own the design and delivery of high impactful services and solutions that automate and scale capacity planning, forecasting, and allocation workflows.
• Lead architecture and technical decision-making for distributed systems handling high-volume, high-critical data used to drive infrastructure planning and investment decisions.
• Innovate AI forward systems using AI assisted insights into planning and operational workflows while maintaining correctness, explainability, and trust. You will have lots of chances to explore and use AI technologies to innovate in the capacity area.
• Drive end-to-end engineering excellence including reliability, data quality, observability, and operational readiness for business-critical services.
• Collaborate closely with product managers, data scientists, and partner engineering teams to translate ambiguous business and capacity problems into well-defined technical solutions.
• Lead and collaborate within a feature crew, mentoring engineers, and raising the overall engineering bar.
• Influence platform strategy and drive transitions to AI, identify opportunities to reduce manual toil, increase automation, improve predictability across the capacity lifecycle, and transition the capacity planning software solutions with the latest AI technologies.
• Operate with ownership and autonomy, balancing near term delivery with long term platform health and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees