Software Engineer at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

199000.0

Posted On

05 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Cloud Computing, Distributed Systems, Artificial Intelligence, Machine Learning, Predictive Modeling, Root Cause Analysis, Agile Methodologies, C++, C#, Java, JavaScript, Python, Rust, Troubleshooting, Debugging

Industry

Software Development

Description

Overview The Microsoft Azure Compute team builds a fault-tolerant distributed system on standard datacenter hardware to deliver infrastructure for hosting cloud applications in virtual machines (VMs). The platform is designed to provide resources that feel limitless, highly elastic, and consistently available to meet customer needs at scale. This role is part of the Availability Platform team within Azure Compute, which focuses on ensuring every Azure virtual machine achieves a service level agreement (SLA) of 99.99 percent or higher. Meeting this goal requires innovative thinking supported by data-driven decisions and intelligent automation. The team manages services that monitor the health of millions of Azure machines and the control plane services responsible for repair decisions. Artificial intelligence (AI) and machine learning are used to build predictive failure models that proactively migrate virtual machines before failures occur, reducing customer impact and improving platform resilience. We are also exploring the use of generative artificial intelligence to enhance diagnostics, automate root cause analysis, and accelerate incident resolution. Collaboration with data scientists and AI researchers enables continuous evolution toward smarter, self-healing capabilities. As a Software Engineer, you will join a team that values comprehensive design, incremental development with high quality, frequent releases, and responsiveness to customer feedback. This role offers hands-on experience with service architecture at hyperscale and the opportunity to redefine cloud infrastructure through advanced AI integration. 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 Partners with stakeholders across teams and organizations to determine project requirements and leads the design and architecture of change management features and services in Microsoft Azure Compute. Leverages expertise with stakeholders to develop project plans, release plans, and work items, while identifying dependencies and authoring design documents for features and services. Develops high-quality, extensible, and maintainable code and coaches others to follow best practices for software development. Supports live site operations as the Designated Responsible Individual (DRI), mentors engineers across products and solutions, and participates in on-call rotations to monitor systems for degradation, downtime, or interruptions. Proactively seeks new knowledge and adapts to emerging trends, technical solutions, and patterns to improve availability, reliability, efficiency, observability, and performance of products, while driving consistency in monitoring and operations at scale and sharing knowledge with other engineers. Collaborates with data scientists and machine learning engineers to design and integrate predictive models that detect hardware anomalies and trigger live migrations, leads initiatives to embed artificial intelligence–driven diagnostics and root cause analysis into availability services, and drives adoption of generative artificial intelligence tools to automate documentation, incident summaries, and engineering workflows. Partners with platform teams to build intelligent observability pipelines leveraging anomaly detection and trend analysis for early warning systems, and evaluates and integrates large-scale artificial intelligence models into control plane services to enable smarter, context-aware repair decisions across millions of Azure virtual machines. 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, Rust, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 1+ years of experience in designing, building and shipping high quality production software or services in cloud environment. 1+ years of experience in large-scale distributed systems analysis and troubleshooting. 1+ years of experience in high-stakes production online service environments. Preferred Qualifications: 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 Rust , C, C++, C#, Java, JavaScript OR Rust, Python OR 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 Rust, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated ability and passion for designing and building highly available distributed systems at scale. Demonstrated problem solving and debugging skills. Demonstrated ability to exercise sound judgment in ambiguous situations. Experience with agile methodologies is a plus, a willingness to adopt them is required. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.

Responsibilities

The Software Engineer will partner with stakeholders to determine project requirements and lead the design of change management features in Azure Compute. They will also develop high-quality code, support live site operations, and collaborate with data scientists to integrate AI-driven diagnostics.