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Job Details
Posted date: Sep 30, 2025
There have been 744 jobs posted with the title of Software Engineer II all time at Microsoft.There have been 744 Software Engineer II jobs posted in the last month.
Category: Software Engineering
Location: Multiple Locations, Multiple Locations
Estimated salary: $158,000
Range: $100,600 - $215,400
Employment type: Full-Time
Work location type: 0 days / week in-office - remote
Role: Individual Contributor
Description
The Azure Compute team builds a fault-tolerant, distributed system on top of commodity datacenter hardware to deliver infrastructure for hosting cloud applications in virtual machines (VMs). The team creates the illusion that resources are limitless, infinitely elastic, and always available.This role is in the Availability Platform team within Azure Compute, which focuses on ensuring every Azure VM achieves an SLA of 99.99+%. Achieving and exceeding this target requires out-of-the-box thinking, backed by sound data-driven decisions and intelligent automation. The team owns services that monitor the health of millions of Azure machines and the control plane services that make all repair decisions in Azure. We leverage AI and machine learning to build predictive failure models that proactively live-migrate VMs before failures occur, minimizing customer impact and improving platform resilience.
We are also exploring the use of generative AI to enhance diagnostics, automate root cause analysis, and accelerate incident resolution. Our collaboration with data scientists and AI researchers enables us to continuously evolve our platform with smarter, self-healing capabilities.
As a Software Engineer, you will join a talented team that invests in people and technology for the long term. We emphasize comprehensive designs, incremental development with high quality, frequent shipping, and rapid adaptation to customer feedback. Join us in pushing the boundaries of scale, reliability, availability, and efficiency—while integrating cutting-edge AI to redefine cloud infrastructure. If you want hands-on experience with services architecture at hyperscale, this is the role for you.
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.
Partners with appropriate stakeholders spanning across teams and orgs to determine project requirementsLeads the design and architecture of change management features and services in Azure ComputeLeverages expertise with appropriate stakeholders to develop project plans, release plans, and work items.Develops high quality, extensible, maintainable code and coaches others to do the same.Supports livesite as Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers. Collaborates with data scientists and ML engineers to design and integrate predictive models that proactively detect hardware anomalies and trigger live migrations, improving VM uptime and SLA compliance.Leads initiatives to embed AI-driven diagnostics and root cause analysis into availability services, reducing time-to-resolution for incidents and improving operational efficiency.Drives the adoption of generative AI tools to automate documentation, incident summaries, and engineering workflows, enhancing team productivity and knowledge sharing.Partners with platform teams to build intelligent observability pipelines that leverage anomaly detection and trend analysis for early warning systems.Evaluates and integrates large-scale AI models into control plane services to enable smarter, context-aware repair decisions across millions of Azure VMs.
Qualifications
Required Qualifications:Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, Rust, C, C++, C#, Java, JavaScript, or PythonOR 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 6+ years technical engineering experience with coding in languages including, but not limited to Rust , C, C++, C#, Java, JavaScriptOR 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 PythonOR 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.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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
Microsoft will accept applications for the role until October 7, 2025.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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