Senior Software Engineer

Microsoft•Redmond, WA

21h•$119,800 - $304,200

About The Position

Microsoft is seeking a Senior Software Engineer for a frontier, AI-native engineering team within Microsoft Copilot. The team is building a customer-facing intelligent development and operations platform that combines evaluations, automated testing, governance, monitoring, and an agent-driven improvement loop to help enterprises build, deploy, and operate AI-powered applications and agents at scale. The engineer will own customer-facing deployment and operations intelligence capabilities, including risk assessment, trust scoring, and evaluation-based release gates. The role involves building scalable, containerized backend services and agentic test-and-evaluation systems to assess release readiness, detect production issues, and guide safe recovery. The engineer will work with teams across Power Apps, Copilot Studio, Microsoft 365 Cowork, and Dataverse to bring capabilities from design to production, with an emphasis on quality, security, and reliability. The position offers opportunities to deepen expertise in AI evaluation and multi-agent systems, develop distributed services at enterprise scale, and grow technical leadership through hands-on ownership.

Requirements

Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Bachelor's degree in Computer Science or a related technical field and 8+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Experience with Power Platform or Microsoft 365 enterprise development.
Understanding of modern AI technologies, including generative AI, foundation models, and AI-powered systems, and ability to apply AI concepts to real-world engineering challenges.
Experience designing or building agentic systems and agentic loops, including systems that can reason, plan, take actions, use tools, and iteratively respond to results.

Responsibilities

Collaborate with stakeholders to understand customer and business requirements and translate them into technical solutions.
Design, implement, test, debug, and maintain software services, APIs, tools, and platform components.
Drive feature development from design through deployment, ensuring quality, maintainability, scalability, and reliability.
Create and execute experimentation plans, analyze results, and use data to drive product and engineering improvements.
Participate in architecture and design discussions, contribute technical expertise, and propose solutions to complex engineering problems.
Partner with engineers, product managers, and adjacent teams to deliver end-to-end customer scenarios.
Act as a Designated Responsible Individual (DRI) for owned components and participate in live-site operations, incident response, and root cause analysis.
Improve service health through investments in reliability, observability, automation, performance, and operational excellence.
Conduct code reviews and contribute to engineering best practices, quality standards, and development processes.
Mentor engineers through technical guidance, design reviews, knowledge sharing, and day-to-day collaboration.
Continuously learn and apply emerging technologies, AI capabilities, agentic software development practices, and engineering tools.
Own customer-facing deployment and operations intelligence capabilities, including risk assessment, trust scoring, and evaluation-based release gates.
Build scalable, containerized backend services and agentic test-and-evaluation systems that assess release readiness, detect production issues, and guide safe recovery.