Senior Software Engineer

Overview

The Fleet Health Team within Microsoft 365 Core Platform is responsible for improving the reliability, availability, efficiency, and operational safety of the infrastructure that powers Microsoft 365 services worldwide. The team develops intelligent systems that transform fleet telemetry into actionable insights, enabling proactive detection of hardware issues, predictive maintenance, automated remediation, and data-driven capacity decisions.

As a Senior Software Engineer, you will build and operate large-scale distributed systems that analyze telemetry from servers, storage devices, networking infrastructure, and repair workflows across one of the world's largest cloud fleets. You will work at the intersection of software engineering, hardware systems, data science, and AI to create solutions that predict failures before they impact customers, optimize fleet availability, and reduce operational toil through intelligent automation.

You will partner closely with Fleet Management, Capacity Planning, Hardware Platform Engineering, Azure Infrastructure teams, and Site Reliability Engineers to deliver solutions that improve the reliability and efficiency of Microsoft's global infrastructure.

This role is ideal for engineers who enjoy solving complex infrastructure problems, working with large-scale data, and applying AI and machine learning techniques to real-world operational challenges.

This position is based in Redmond, Washington and requires the employee be in the office a minimum of 3 days per week.

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.

Responsibilities

* Design and build large-scale distributed services that improve fleet reliability, hardware health, and operational efficiency.

* Develop telemetry and analytics platforms that process and analyze infrastructure health signals at hyperscale.

* Build predictive models and intelligent services for hardware failure detection, repair recommendation, anomaly detection, and fleet risk forecasting.

* Analyze telemetry from servers, storage platforms, networking equipment, rack infrastructure, and datacenter systems to identify opportunities for improving reliability and availability.

* Partner with hardware, reliability, and capacity planning teams to develop data-driven operational strategies.

* Build AI-assisted experiences that accelerate incident investigation, root cause analysis, and repair decision-making.

* Design and implement safe automation and remediation workflows that reduce operational burden while maintaining strong operational controls.

* Participate in architecture reviews, code reviews, and live-site operations.

* Mentor engineers and contribute to engineering excellence across the organization.

* Drive projects from design through deployment and operational ownership.

Qualifications

Required Qualifications:

* 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.

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:

* Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

* 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.

* Experience designing and operating distributed systems and cloud services at scale.

* Experience working with hardware infrastructure, storage systems, server platforms, networking systems, or datacenter operations.

* Experience using data science, statistics, machine learning, forecasting, anomaly detection, or predictive analytics to solve engineering problems.

* Experience with telemetry and data platforms such as Azure Data Explorer (Kusto), Spark, Fabric, Databricks, or similar analytics technologies.

* Experience developing AI-powered operational tools, intelligent automation systems, or agent-based solutions.

* Experience with hardware reliability engineering, fleet management, capacity planning, or infrastructure health monitoring.

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