Senior Software Engineering
About The Position
As a Senior Software Engineer in Microsoft’s Frontier Company, you will build reliable, production-ready systems and services that turn ideas and data-driven insights into scalable solutions. You will work in small, multidisciplinary crews with data scientists, product managers, and domain experts, owning the full lifecycle from design through deployment. The team uses a Forward Deployed Engineering model, embedding directly with customer teams to solve complex challenges and ship production-ready solutions quickly. AI tools and practices are applied throughout the development lifecycle while maintaining high standards of security, quality, and trust. The role provides the opportunity to deliver engineering work that influences business strategy and customer outcomes, collaborate with global organizations across industries, and apply advances in AI and software engineering to problems at scale. Microsoft emphasizes a growth mindset, innovation, collaboration, respect, integrity, accountability, and an inclusive culture.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
Nice To Haves
- Master’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python; or a bachelor’s degree in the field and 8+ years of such experience; or equivalent experience.
- 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.
- Familiarity with deploying and operating AI systems in production environments.
- Understanding of model evaluation, data quality, and performance monitoring.
- Experience using cloud AI platforms such as Azure ML, OpenAI, or similar.
- Enjoy travel and be comfortable traveling up to 25%.
Responsibilities
- Design, build, test, and operate production-grade software and services that are secure, reliable, and scalable.
- Partner with customers and internal stakeholders to clarify requirements, define success metrics, and translate business needs into technical designs.
- Drive engineering best practices, including code reviews, automated testing, CI/CD, observability, and documentation.
- Apply a security-first mindset and follow Microsoft security and compliance requirements throughout design and delivery.
- Deliver customer outcomes end-to-end by prototyping quickly, iterating with feedback, and delivering solutions that meet quality, performance, and maintainability goals.
- Build reusable components, reference implementations, and patterns that can be shared across teams and engagements.
- Learn and adapt in a fast-moving environment, using experimentation and data to guide decisions and continuous improvement.
- Collaborate across engineering, data science, product, design, and security, contributing to an inclusive and respectful team culture.
- Lead technical workstreams by aligning stakeholders, breaking down ambiguous problems, and driving execution through delivery.
- Embody Microsoft’s culture and values.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
