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.

• Architect, build, and operate a scalable and reliable sandbox infrastructure for AI Agent execution, including isolation, scheduling, lifecycle management, and resource governance.
• Design and implement distributed backend services/APIs to orchestrate high-throughput, low-latency sandbox sessions and system integrations.
• Build and optimize Kubernetes-based platform capabilities (multi-tenancy, autoscaling, networking, storage, admission control, policy enforcement).
• Own and evolve the data layer (relational/NoSQL/cache/queue), including schema design, indexing, performance tuning, and reliability strategies (backups, replication, failover).
• Develop full-stack features: implement secure, performant backend endpoints and build modern web UIs for platform workflows (e.g., session management, policy configuration, debugging, monitoring views).
• Drive UX excellence: collaborate with designers and product managers, translate user needs into clear interaction flows, iterate based on feedback and usage telemetry, and maintain consistent UI patterns/design systems.
• Improve system robustness via SLO-driven engineering, capacity planning, incident response, and continuous hardening of reliability and security.
• Implement end-to-end observability (metrics, logs, traces), define dashboards/alerts, and reduce operational toil with automation and self-service tooling.
• Identify bottlenecks and lead performance/cost optimizations across compute, storage, and network.
• Maintain high engineering standards through code reviews, automated testing, CI/CD, documentation, and well-defined runbooks.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Solid experience designing distributed systems (fault tolerance, scalability, consistency tradeoffs, performance, and operability).
• Hands-on experience with Kubernetes in production (cluster architecture, networking, storage, security, scaling).
• Solid database and data-system expertise (e.g., PostgreSQL/MySQL, NoSQL, caching, messaging/streaming) with proven performance and reliability tuning experience.
• Proficiency in at least one of: Python, C++, Rust, or Java (production-quality coding).
• Experience with at least one major cloud platform: Azure and/or AWS (compute, networking, IAM, managed Kubernetes, storage, monitoring).
• Solid engineering practices: testing, CI/CD, code quality, design docs, and operational ownership (on-call/incident response).

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

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.