Staff Software Engineer - OS, Robot Software
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Design and build large-scale distributed systems analyzing infrastructure telemetry to predict hardware failures and optimize fleet reliability across Microsoft 365 services. Requires a bachelor's degree in computer science and 4+ years of software engineering experience with languages like C++, C#, Java, or Python. Key skills include distributed systems design, machine learning for predictive analytics, and experience with data platforms like Azure Data Explorer. Based in Redmond, Washington with minimum 3 days per week on-site. Pay ranges from $119,800 to $234,700 annually, or $160,200 to $261,000 in San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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.
Required Qualifications:
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:
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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