Senior Software Engineer - Core AI
Microsoft
The Experimentation Platform (ExP) team powers Microsoft’s end-to-end experimentation ecosystem, enabling product teams across the company—including Copilot, Bing, Office, Windows, Edge, Xbox, and Azure — to make data-driven decisions at massive scale. We build the experimentation framework, compute platform, data pipelines, agent-driven automation and insights and that run millions of experiments each year.
We focus on delivering world-class reliability, scalable experiment execution, transparent compute fundamentals, automated workflows, and AI-assisted agentic capabilities that accelerate experimentation velocity across Microsoft.
This role offers the opportunity to build modern user experience, high-performant distributed systems, modernize a mission-critical experimentation stack, integrate AI-driven agents, and improve end-to-end fundamentals such as efficiency, observability, and resiliency. As a platform software Engineer, you’ll collaborate with cross-functional teams across engineering, data science, and AI to deliver a seamless experimentation experience at global 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 where everyone can thrive.
Responsibilities
Design and build components of the experimentation platform, including large-scale data pipelines, metrics/analysis authoring, distributed workflows, and critical experiment lifecycle services.
Develop high-performance and reliable systems using C#, .NET, Spark pipelines, Azure services, and modern data/compute frameworks.
Integrate AI-driven agents and automation to improve debugging, monitoring, validation, and self-service capabilities for experiment owners.
Optimize efficiency, cost, resource utilization, and pipeline throughput across a global fleet.
Improve platform fundamentals including observability, reliability, test automation and recovery workflows.
Collaborate with PMs, data scientists, platform engineers, and partner teams (across global Microsoft engineering centers) to design scalable solutions.
Participate in code reviews, incident response, performance tuning, and architectural discussions.
Engineer features with a strong focus on quality, transparency, resiliency, and operational excellence.
Qualifications
5+ years of experience in software engineering OR equivalent experience.
Strong coding skills in one or more languages: C#, Java, Scala, Python, or C++.
Proven ability to design and deliver components of large distributed systems or data platforms.
Solid understanding of data structures, algorithms, distributed system fundamentals, and debugging complex systems.
Fast learner with strong communication skills and the ability to work effectively across teams.
Preferred Qualifications
AI native, embrace AI agents in everyday job. Hands-on experience with Github Copilot, Claude Code and Codex will be a big plus.
Familiarity with popular A/B testing products such as Statsig.
Experience in large-scale data processing, including Spark, Cosmos, Data Lake, or equivalent systems.
Knowledge of AI agents, agent frameworks, automation systems, or interest in building agentic workflows.
Hands-on experience with Azure services (e.g., EventHub, Storage, Container Apps, Kubernetes, Functions).
Strong understanding of performance optimization, resource efficiency, observability, and distributed compute debugging.
Experience building or supporting experimentation platforms, A/B testing systems, or data-driven product infrastructure.
Familiarity with CI/CD pipelines, reliability engineering, and large-production-scale service operations.
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.