Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, operate, and maintain Azure Functions platform components and large-scale distributed systems. Ensure reliability, scalability, performance, security, and diagnosability across the service lifecycle. Investigate production issues, develop deployment and operational tooling, improve monitoring and service health, contribute to architecture and code reviews, collaborate across teams, and mentor engineers.

Leads architecture, development, deployment, and operation of production-grade agentic AI systems for Microsoft support experiences. Establishes technical direction, builds diagnostics and orchestration workflows, develops evaluation and quality frameworks, integrates enterprise systems and data, and ensures security, reliability, scalability, and Responsible AI compliance. Drives monitoring, incident response, operational excellence, cross-functional technical strategy, mentoring, and documentation.

Design, develop, operate, and improve highly scalable Git repository services and microservices. Lead technical designs, code reviews, incident response, deployments, and postmortems while mentoring engineers and partnering cross-functionally. The role focuses on distributed systems, high availability, observability, developer tooling, and reliable GitHub infrastructure supporting large-scale AI-driven software development.

Develop full-stack, AI-infused enterprise applications across the software lifecycle, including requirements gathering, application and database design, coding, testing, deployment, monitoring, and support. Build scalable cloud-native services, Copilot-powered features, and intelligent agents using Azure and related technologies. Collaborate with product managers, designers, and engineers; participate in code reviews, planning, incident mitigation, root-cause analysis, and continuous improvement while ensuring security, reliability, and performance.

Verifies custom silicon IP and subsystem designs using UVM-based or formal verification environments. Develops test plans, simulations, random stimulus, coverage-based tests, checkers, and debugging workflows to identify defects and achieve coverage signoff. Improves verification methodologies and tools, applies generative AI, and collaborates with partner teams while mentoring others.

Designs and validates FPGA-based, high-speed digital, RF, mixed-signal, and custom PCB electronics for Microsoft’s topological quantum computing platform. Responsibilities include circuit prototyping, system-level testing, laboratory bring-up, CI and test development, technical documentation, interface specifications, and design reviews. The engineer collaborates across quantum physics, software, RF/EE, and manufacturing teams while supporting ultra-low-latency control, readout, decoding, clocking, and interconnect systems.

Develops and operates scalable services that move Microsoft Surface and Xbox products from manufacturing through global distribution to customers. Responsibilities include AI-assisted software development, architecture and system design, secure coding, testing, telemetry, debugging, incident resolution, compliance, CI/CD automation, and cross-functional collaboration. The role requires ownership of reliability, deployment safety, and continuous improvement across end-to-end engineering systems.

Lead and negotiate strategic finance-data partnerships (exchanges, indexes, aggregators) to enable Microsoft products. Structure complex AI/ML and grounding/display rights deals, align Product/Engineering/Legal/Finance, drive portfolio optimization and regional coverage, and represent partnerships to executive leadership.

Lead architecture, design, and delivery of hyperscale distributed storage and database platform capabilities. Drive technical strategy across storage, data protection, capacity planning, and AI-native system design. Partner cross-functionally, use telemetry and experimentation to optimize performance and reliability, lead live-site excellence and operational automation, establish technical standards, and mentor engineering leaders.

Lead and translate AI research into developer products: build datasets from public and internal code, design and run large-scale ML experiments, train state-of-the-art models, collaborate with product teams across Microsoft and GitHub, and evaluate and iterate AI systems for software engineering.