Principal Software Engineer - FDE

Overview In the Microsoft Frontier Company Engineering team, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations. We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months. As a Principal Software Engineer, you will bring strong software design and engineering expertise, building reliable systems and production-ready services that turn ideas and data-driven insights into scalable solutions. You’ll work in small, multidisciplinary crews alongside data scientists, product managers, and domain experts, owning the full lifecycle from design through to deployed solutions. Our work is powered by AI, applying the mindset and tooling across the entire development lifecycle to move from idea to production in days while maintaining the highest standards of security, quality, and trust. This role offers the opportunity to: Build reliable, production-ready systems and services that turn ideas into scalable solutions Ship engineering work that directly influences business strategy and customer outcomes Collaborate with leading global organizations across industries Apply the latest advancements in [... source excerpt omitted ...] 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 Put security first: Build and ship solutions that meet enterprise security standards (threat modeling, secure coding, privacy, and compliance) from design through production. Translate business needs into technical solutions: Partner with stakeholders to define problem statements, success metrics, and architectural approaches that deliver measurable outcomes. Design and lead architecture: Own end-to-end system design for cloud and AI workloads, making sound tradeoffs across reliability, p [... source excerpt omitted ...] thout sacrificing quality: Use modern engineering practices (CI/CD, automated testing, observability, and progressive delivery) to iterate fast and reduce operational risk. Drive customer success and adoption: Work directly with customer engineering teams to deliver production-ready solutions, unblock delivery, and ensure outcomes are adopted at scale. Build reusable, scalable assets: Create solution accelerators, reference architectures, and code that can be reused across customers and scenarios to maximize impact. Operate effectively in ambiguity: Continuously learn and adapt as technologies and customer priorities evolve; bring clarity, structure, and momentum to complex en