Microsoft's Core AI team is seeking a Software Engineer II to join the 1ES (One Engineering System) team, focusing on building foundational platforms and services for Generative AI. This role is at the intersection of AI innovation and developer productivity, working on high-scale distributed services for test automation and AI agents.
The 1ES team is crucial in enabling Microsoft's engineering teams with world-class tools and systems. They develop and operate essential engineering services including build systems, verification services, code review tools, and machine learning services. These services support tens of thousands of developers and handle millions of daily project builds across multiple data centers.
As a Software Engineer II, you'll help shape the future of engineering systems and developer productivity at Microsoft. You'll work on building distributed services for test automation and leverage AI agents to enhance build validation efficiency. The role offers exposure to cutting-edge technology and the opportunity to impact Microsoft's engineering productivity at scale.
The position offers competitive compensation ($100,600 - $199,000 base salary range) and comprehensive benefits including healthcare, educational resources, and investment options. Working in Redmond, WA, you'll enjoy a hybrid work arrangement with up to 50% work from home flexibility and minimal travel requirements (0-25%).
This is an excellent opportunity for someone with 2+ years of experience in software engineering who wants to work on large-scale systems and AI technology. You'll be part of Microsoft's mission to empower global development through innovative engineering tools and systems, while working in a culture that values growth mindset, innovation, and collaboration.
The role requires strong technical skills in languages like C++, Java, Python, or JavaScript, plus experience with production-grade software services at scale. You'll need to balance technical expertise with operational excellence, contributing to both development and system reliability through on-call responsibilities and incident management.