Senior Software Engineer

Microsoft•Redmond, WA

14h

About The Position

The Senior Software Engineer will build platforms, tooling, and automation that help engineering teams address security, compliance, and sovereign cloud readiness challenges earlier and at Microsoft scale. The role uses an AI-first engineering mindset, including agentic workflows, reusable skills, data, and automation, to improve how engineering work gets done. The team builds and uses its own platform to solve real problems and continuously improve the developer experience. This position is suited to an engineer who enjoys large-scale technical challenges, navigating ambiguity, building cross-organizational partnerships, and creating platforms that multiply other engineers’ impact. The role contributes to architecture and technical strategy while remaining hands-on in implementation and operation, and helps foster learning, experimentation, and shared ownership. The position requires passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. The typical U.S. base pay range is USD $119,800–$234,700 per year. For specific work locations in the San Francisco Bay Area and New York City metropolitan area, the range is USD $160,200–$261,000 per year. Certain roles may be eligible for benefits and other compensation. Applications are accepted on an ongoing basis until the position is filled, and the posting will remain open for at least five days.

Requirements

Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

Experience building security, compliance, governance, or cloud-readiness platforms and tooling.
Experience with sovereign cloud or large-scale cloud deployment readiness.
Experience with Azure Data Explorer and large-scale analytical systems.
Experience applying AI, agents, or agentic workflows to engineering automation and developer productivity.
Experience building platforms or developer tooling used by multiple teams or organizations.
Experience building production software with C# or comparable modern programming languages.
Experience designing and operating distributed systems and cloud services.
Experience with Azure or comparable cloud technologies.
Experience working with large-scale data, telemetry, monitoring, or operational systems.
Demonstrated ability to navigate ambiguous technical problems and drive solutions from design through implementation.
Demonstrated success collaborating and influencing across team and organizational boundaries.
Experience mentoring engineers and contributing technical leadership to a team.

Responsibilities

Design, build, and operate secure, reliable distributed systems and engineering platforms at Microsoft scale.
Develop tooling and automation to improve sovereign cloud readiness, security, compliance, and developer productivity.
Apply AI-first engineering practices, including agentic workflows and reusable agentic skills, to automate complex engineering processes.
Build data-driven solutions that turn engineering and operational signals into actionable insights.
Develop solutions using technologies such as C#, Azure, Azure Data Explorer, and Azure monitoring and alerting technologies.
Partner across organizations to understand engineering challenges, influence technical direction, and drive adoption of scalable solutions.
Contribute to architecture and technical strategy while remaining hands-on in implementation and operation.
Mentor other engineers and foster a collaborative culture of learning, experimentation, and shared ownership.