Senior Software Engineer FDE
Listed on 2026-10-17
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Software Development
Software Engineer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
In the Microsoft Frontier Company Engineering team youwontjust build software;youlldeliver real outcomes for some of the worlds 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.
We are hiring a Senior Software Engineer to bring strong software design and engineering expertise building reliable systems and production-ready services that turn ideas and data-driven insights into scalable solutions. Software engineers 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 will be part of a cross-functional team of software engineers data scientists technical program managers and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
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 problemsatscale
Microsofts 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- 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 performance cost and maintainability. - Deliver quickly without 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 engagements. - Lead and mentor across disciplines:
Provide technical direction coach engineers and collaborate with product data and security partners to deliver as one team. - Lead complex delivery end-to-end:
Coordinate multiple work streams manage dependencies and raise the bar on reliability and operational excellence for services running in production. - Model inclusive customer-obsessed leadership:
Create an environment of trust accountability and continuous improvement whilerepresentingthe company professionally with external stakeholders.
Required / Minimum Qualifications
- Bachelors Degree in Computer Scienceor related technical field AND 6 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or PythonOR equivalent experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Additional or Preferred Qualifications (PQs)
- Experience designing deploying andoperatingAI or LLM-based solutions including prompt engineering retrieval-augmented approaches model tuning evaluation data quality performance monitoring and use of cloud AI platforms
- Familiarity with deploying and operating AI systems in production environments
Software Engineering IC4 - The typical base pay range for this role across United Kingdom is 74700.per year. Certain roles may be eligible for benefits and other compensation.
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