Overview
Software development is entering a new era in which artificial intelligence can automate routine engineering work and help teams deliver reliable software faster. On the Integration and Automation team, you will build intelligent automation, continuous integration and continuous delivery systems, validation services, and developer platforms for complex engineering environments. You will work with engineers and partner teams to improve build, test, deployment, and production workflows at scale while advancing code intelligence and retrieval capabilities that give engineers and intelligent agents the context to make dependable changes. As a Principal Software Engineer on the Integration and Automation team, you will design, build, and operate artificial intelligence-powered automation, continuous integration and continuous delivery systems, distributed services, developer tooling, and code-intelligence capabilities. You will own one or more significant services or technologies within the team’s domain, lead technical design and delivery, improve engineering workflows using measurable evidence, and partner across teams to deliver dependable platforms at scale. In this role, you will deepen your expertise in artificial intelligence-enabled software engineering, develop technical leadership in large-scale service architecture and operations, and hone your ability to turn ambiguous engineering problems into dependable production outcomes. 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
- Own significant systems from design through production operation. Work across artificial intelligence automation, continuous integration and continuous delivery, distributed services, developer tooling, reliability, and code intelligence while contributing to architecture, engineering practices, and technical decisions within the team’s domain.
- Own a core capability end to end. Lead architecture, design documentation, implementation, quality, and operational health for services or technologies within a defined platform area, including artificial intelligence workflow automation, continuous integration and continuous delivery orchestration, build and validation services, developer experiences, code intelligence, or production operations. Lead technical reviews, contribute to roadmap decisions, and communicate trade-offs involving cost, latency, reliability, and quality.
- Improve engineering workflow quality with evidence. Build evaluation and validation systems for artificial intelligence-assisted changes, builds, tests, deployments, and code-intelligence experiences. Use measurable results to improve a
