Microsoft 365 and Copilot rely on some of the world's largest telemetry and data platforms. Every day, massive amounts of data flow through Azure Storage, Cosmos, and Blueshift to power engineering insights, reliability monitoring, performance analysis, and operational decision making across Microsoft's cloud services.
The SWIQ Performance team is focused on making these platforms more efficient, scalable, and cost effective. We partner with engineering teams across Microsoft 365 to reduce infrastructure costs, improve resource utilization, and simplify operations through automation and intelligent tooling.
We're looking for an engineer who enjoys digging into large-scale systems, finding opportunities hidden in data, and turning ideas into production solutions. In this role, you'll work on challenges such as storage optimization, capacity reduction, telemetry platform efficiency, and AI-native transformation. You'll have the opportunity to see your work translate directly into meaningful improvements in platform efficiency and operational cost savings.
This is a great opportunity to learn how Microsoft runs large-scale cloud services while developing expertise in distributed systems, cloud infrastructure, big data platforms, and emerging AI technologies.
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
Build services, tools, and automation that improve the efficiency and reliability of large-scale telemetry and data platforms.
Investigate storage and compute optimization opportunities across Azure Storage, Cosmos, and Blueshift and help drive them into production.
Develop dashboards, analytics, and recommendation tooling that help engineers understand usage patterns and identify savings opportunities.
Work with partner teams to validate opportunities, implement improvements, and measure business impact.
Apply AI-assisted engineering tools and automation to improve investigations, analysis, and operational workflows.
Contribute to system design, implementation, testing, monitoring, and ongoing service improvements.
Qualifications
Required Qualifications:
- 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.
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.
- Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience building backend services, cloud applications, data pipelines, or distributed systems.
- Solid problem-solving skills and an ability to analyze complex technical issues using data.
- Experience working collaboratively in a team environment and driving projects to completion.
- Interest in cloud infrastructure, data platforms, automation, and AI-assisted engineering practices.
- Experience with Azure Storage, Blob Storage, or storage lifecycle management.
- Experience with Kusto (KQL), Cosmos, Spark, or large-scale telemetry systems.
- Experience using data analytics to identify performance, reliability, or cost-efficiency improvements.
- Experience with AI-powered development tools, automation frameworks, or intelligent operational tooling.
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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience
- 2+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, Python, or comparable languages, or equivalent experience
- Ability to pass Microsoft's Cloud Background Check upon hire or transfer and every two years thereafter
- Master's degree in Computer Science or a related technical field and 3+ years of technical engineering experience, or bachelor's degree and 5+ years of experience, or equivalent experience
- Experience building backend services, cloud applications, data pipelines, or distributed systems
- Strong problem-solving skills and ability to analyze complex technical issues using data
- Experience collaborating in a team environment and driving projects to completion
- Interest in cloud infrastructure, data platforms, automation, and AI-assisted engineering practices
- Experience with Azure Storage, Blob Storage, or storage lifecycle management
- Experience with Kusto Query Language, Cosmos, Spark, or large-scale telemetry systems
- Experience using data analytics to identify performance, reliability, or cost-efficiency improvements
- Experience with AI-powered development tools, automation frameworks, or intelligent operational tooling
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
