Senior Software Engineering - Azure Monitor

As a Senior Software Engineer on the Copilot Observability Agent team, you will: Architect, design, and build high-performance agents covering LLM and agent orchestration, tool use, grounding and retrieval, evaluation and system reliability, safety, latency and cost. Lead complex features and technical initiatives throughout their full lifecycle, from requirements and architecture through implementation, testing, deployment, and production operations. Solve challenging engineering problems involving massive scale, reliability, performance, resource efficiency, security, and fault tolerance. Drive technical direction and make sound architectural decisions that balance immediate requirements with long-term maintainability and evolution. Establish and promote high-quality engineering practices, including effective design reviews, testing strategies, operational readiness, and production diagnostics. Own critical components end-to-end and ensure the timely delivery of robust, production-ready solutions. Mentor engineers, provide technical guidance, and help strengthen the team's engineering capabilities. Use AI-assisted engineering tools and practices to improve development velocity, software quality, and innovation. You have at least 7+ years of hands-on software engineering experience, including significant experience building and operating large-scale production systems. BSc or MSc in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. You are experience with cloud-native platforms, distributed systems, or modern microservice architectures. Experience with observability, telemetry pipelines, agents, SDKs, or system-level programming. Experience optimizing software for performance, memory, CPU, network usage, or other constrained environments. Experience with C#/.NET, Kubernetes/AKS, Kusto/ADX Experience with security, privacy, and compliance requirements in enterprise software. Experience with building and evaluating LLM-based agentic systems. Experience leading substantial technical projects or features across multiple development stages and stakeholders. Demonstrated ownership of production systems, including reliability, monitoring, troubleshooting, and operational excellence. High attention to detail and a strong commitment to engineering quality.