Principal Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Architecture, Microservices, API Design, AI Infrastructure, LLM Pipelines, Security, Operational Excellence, Collaboration, Mentorship, Problem Solving, Communication, Scalability, Reliability, Observability, Customer Focus

Industry

Software Development

Description

Define long-term technical strategy: Set vision and direction for Teams API and AI platform initiatives, including agent-to-agent protocols, composable LLM pipelines, and developer extensibility. Architect complex, scalable systems: Lead design for end-to-end scenarios involving distributed microservices, multi-tenant routing, LLM orchestration, tool integration, and secure API endpoints. Build hyperscale LLM-enabled infrastructure: Craft systems to support developer-deployed AI agents, multi-step workflows, data connectors, and runtime MCP patterns across global Teams environments. Design APIs & SDKs for AI applications: Define developer-facing components that allow ISVs to deploy, configure, and manage LLM-powered agents and tools within Teams. Drive engineering culture: Champion scalability, reliability, observability, security, operational excellence, and customer obsession. Collaborate broadly: Partner with leadership, cross-functional teams (Research, Security, UX), and ecosystem stakeholders to deliver unified, strategic outcomes. Hands-on leadership: Develop, debug, optimize, and maintain platform features end-to-end—from coding to deployment and operational excellence. Operational responsibility: Troubleshoot complex infrastructure issues at scale, proactively reduce incidents, and maintain on‑call readiness. Mentor and foster growth: Build a healthy, inclusive environment, guiding engineers toward excellence in distributed platforms and AI infra. Embody our Culture and Values. Bachelor'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 6+ years of experience focused on advanced software development and architecture, building commercial-grade, high-availability services. 6+ years of experience driving software platform architecture projects from both a technical and functional perspective. These requirements include but are not limited to the following specialized security screenings: Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 10+ years of experience focused on advanced software development and architecture, building commercial-grade, high-availability services. 10+ years of experience driving software platform architecture projects from both a technical and functional perspective. Guiding complex projects from planning through execution and service operations. Solid communication skills with a growth mindset. Demonstrated commitment to software engineering excellence. Analytical and problem-solving skills, with a history of navigating significant technical challenges, emphasizing a continuous release mindset and service operation in a dynamic environment. Ability to lead in a fast-paced, customer focused, and data-driven environment. A decisive, self-directed, collaborative, and innovative approach to projects. Hands-on competence in LLM infrastructure and paradigms: Agent-to-agent communication protocols and orchestration. Model Context Protocol. Integration of third-party tools, APIs, and data sources into LLM pipelines. Secure execution of LLMs in cloud environments, multi-tenant isolation, throttle control.

Responsibilities

Define the long-term technical strategy for Teams API and AI platform initiatives while architecting complex, scalable systems. Lead hands-on development and operational excellence for platform features, ensuring collaboration across teams and mentoring engineers.