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: