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.
Responsibilities
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.
Qualifications
Required/minimum qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Other Requirements
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
Additional or preferred qualifications
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and use of cloud AI platforms
- Enjoy travel and are comfortable with travel up to 25%
#FDE
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Master's degree in Computer Science or a related technical field and 3+ years of technical engineering experience with coding, or bachelor's degree and 5+ years of experience, or equivalent experience.
- Experience partnering directly with customers or internal stakeholders to deliver end-to-end solutions.
- Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and cloud AI platforms.
- Comfort with travel up to 25%.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
