Senior Software Engineer

Microsoft•Redmond, WA

About The Position

Microsoft Entra’s Global Secure Access (GSA) team, where we build security for AI and AI for security at global scale. Our team operates at the intersection of networking, security, and AI technologies, delivering cloud services that enable people and AI agents to work securely from anywhere while meeting companies’ compliance needs. This is a rare opportunity to develop new products - large, strategic investments - within a well-established organization that is shaping the future of secure access. We are hiring a Senior Software Engineer to help define, build, and evolve heavily integrated platforms at scale. You’ll work on cutting-edge solutions, creating a seamless, integrated stack that empowers productivity and security worldwide. If you’re passionate about designing networking systems that combine AI innovation with enterprise-grade security, this is your chance to make an impact. 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. #MSFTSecurity, #NetworkAccess #IdentityAccess #AIAccess #AI #MCP #Firewall #GlobalService

Requirements

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.
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 Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice To Haves

4+ years technical engineering experience with coding in languages including, but not limited to: C/C++, Golang, Rust, C# OR equivalent experience
8+ years of technical engineering experience with coding in (not limited) C++, C#, Java, Go, Rust; OR equivalent experience.
Experience building global distributed services • Understanding of networking and network security fundamentals, including TCP/IP, HTTP/HTTPS, TLS, routing, and proxy-based architectures.
Hands on experience with developing and running services on Linux / Unix environments
Hands-on experience with AI as a user and as developer: LLMs, Azure OpenAI, MCP, RAG, Agents is a plus
Hands-on experience with IAM, IdPs, OAuth, etc is a plus • Hands-on experience with high-performance datapaths and L7 proxies (e.g., Envoy, NGINX, HAProxy) and/or packet processing (e.g., eBPF, DPDK, XDP) is a plus
Hands on experience with K8s, containers and deployment pipelines is a plus

Responsibilities

Work on Requirements: Work with the Product and Engineering team members to design and develop large scale distributed software services and solutions.
Work on Design: System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions, facilitate design reviews
Work on Implementation: Develop “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored and reusable.
Work on Quality: Improve test coverage for services, organize and implement integration tests, and resolve problem areas.
Work on Deployment: Consider testability, portability/monitoring, reliability, and maintainability, and understand when code is ready to be shared and delivered.
Work with Customer in mind: Gain a working understanding of Microsoft businesses and collaborate with mentors and leaders to contribute to cohesive, end-to-end experiences for our users.
Work on Operations: Troubleshoot and optimize automation, reliability, and monitoring for Live Site.
Work with AI: Accelerate responsible AI adoption across engineering (AI-assisted design, coding, testing, and operations); establish best practices, guardrails, and success metrics to measurably improve outcomes.
Embody our Culture and Values

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