Software Engineer II

Microsoft

14d

About The Position

The Azure Compute team designs and operates a fault‑tolerant, distributed system built on commodity datacenter hardware to provide infrastructure for hosting cloud applications in virtual machines (VMs). The team delivers an experience in which resources appear limitless, highly elastic, and consistently available.
Within Azure Compute, the Availability Platform team is dedicated to helping every Azure virtual machine meet a service-level agreement (SLA) of 99.99 percent or higher. This work relies on data-informed decisions, automated repair workflows, and services that monitor the health of millions of Azure machines. The team also uses artificial intelligence (AI) and machine learning to develop predictive failure models that enable proactive live migration, reducing customer impact and enhancing platform resilience.
The team is also exploring generative artificial intelligence to improve diagnostics, automate root cause analysis, and accelerate issue resolution. Collaboration with data scientists and researchers supports ongoing improvements to self-healing capabilities across the platform. As a Software Engineer II, you will contribute to long-term investments in both people and technology through comprehensive designs, iterative development, high-quality implementation, and rapid response to customer feedback.
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.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• Partners with appropriate stakeholders spanning across teams and orgs to determine project requirements and build intelligent observability pipelines that leverage anomaly detection and trend
• Leads the design and architecture of change management features and services in Azure Compute. Identifies dependencies and authors design documents for features and services.
• Leverages 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees