Senior Software Engineer

Overview Microsoft Azure Artificial Intelligence/High Performance Computing (AI/HPC) team is looking for software engineers to enable customers in deploying, monitoring, profiling, and debugging their application on hyperscale cloud infrastructure.

Azure is enabling the largest supercomputing deployments to tackle complex computational problems in public cloud, evident from the various HPC products that have already made the mark on Top500, MLPerf and Graph500 rankings.

At this supercomputing scale, we need specialized tools and techniques to maintain the reliability, runtime performance, health of the system and running jobs continuing to meet the Service Level Agreements (SLAs) of customers.

Your job would be to build and use state-of-the-art cloud applications and services to find operational gaps and instrument features to achieve the smooth operation and management of cloud-native supercomputers. As a Senior Software Engineer, you would also bring to the table establishing best practices drive architectural changes and influence roadmap of relevant software and hardware components.

Your work will directly impact business goals of a wide range of users and facilitate the next wave of growth and innovation in AI, and HPC in the cloud in general.

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

• Develop and operate high-throughput, low-latency data processing pipelines that transform infrastructure telemetry into actionable intelligence at cloud scale.
• Drive the evolution of observability by continuously discovering new failure modes, operational patterns, and leading indicators, translating them into meaningful monitoring, analytics, and automation capabilities.
• Own end-to-end delivery of services and platform components, from architecture and design through implementation, deployment, and operational excellence.
• Partner with engineering, operations, and platform teams to identify the signals, metrics, and insights that matter most for reliability, performance, capacity, and customer impact.
• Act as a technical leader and Designated Responsible Individual (DRI) for critical services, driving incident response, root cause analysis, reliability improvements, and operational readiness.
• Champion engineering excellence through AI assisted development and debugging, code reviews, system design discussions, mentoring, and raising the bar on reliability, scalability, and maintainability.
• Stay at the forefront of emerging trends in distributed systems, observability, AI infrastructure, and cloud operations, applying new ideas to solve real-world operational challenges.

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.
• 2+ years building end to end observability solutions for complex cloud infrastructure
• 2+ years of specialized experience with one of AI/HPC system management
• OR High-Speed Networks
• OR HPC Storage
• OR managing Cloud Infrastructure.

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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.