Senior Software Engineer - M365 Copilot

• 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)
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience