Software Engineer 2 - FDE

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 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 AI and software engineering to solve problems at scale

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.

• Build and ship production software: Design, implement, test, and maintain services, applications, and tools using modern engineering practices (code reviews, automated testing, CI/CD, observability).

• Security and privacy by design: Follow Microsoft security, privacy, and compliance requirements; apply secure coding practices, threat modeling, and vulnerability management.

• Responsible AI engineering: When building AI-enabled features, apply responsible AI principles, evaluate model and data risks, and implement appropriate safeguards and monitoring.

• Customer co-engineering: Work with customer stakeholders to understand requirements, translate them into technical designs, and deliver solutions that meet agreed success metrics.

• Collaborate across disciplines: Partner with PM, design, data science, and domain experts to make informed tradeoffs, document decisions, and drive alignment as One Microsoft.

• Operate what you build: Participate in on-call/incident response as required, diagnose issues, and improve reliability through root-cause analysis and preventative fixes.

• Contribute to reusable assets: Create and maintain reusable components, reference implementations, and documentation to accelerate delivery across engagements.

• Continuous improvement: Learn, experiment, and share best practices to improve engineering velocity, quality, and customer outcomes.

• Model Microsoft culture and values: Work inclusively, communicate clearly, and act with integrity.