18 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Define and evolve end-to-end architecture for complex, AI-enabled customer experience capabilities across scale, latency, availability, security, cost, and time-to-market trade-offs.
- Own critical technical areas from problem definition and architecture through implementation, deployment, operational health, and long-term improvement.
- Lead implementation of critical platform components, write high-quality production code, and resolve complex design, performance, and debugging challenges in distributed systems.
- Drive technical strategy across teams and organizations and translate customer and business needs into multi-release engineering plans.
- Provide technical leadership for applied AI systems, including model and framework selection, evaluation, grounding, orchestration, responsible AI controls, monitoring, and lifecycle management.
- Establish quality, security, compliance, deployment, observability, incident-response, and safe-rollout practices for mission-critical services.
- Lead high-severity live-site and customer issue resolution, root-cause analysis, and preventive improvements.
- Mentor engineers, review architecture and code, establish reusable patterns, simplify systems, and raise engineering standards.
Requirements
- Bachelor’s degree in computer science or a related technical field and 6+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to pass Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred qualifications include a master’s degree with 8+ years of experience, or a bachelor’s degree with 12+ years of experience, or equivalent experience.
- Experience architecting and delivering large-scale production cloud services with technical leadership across multiple teams or complex dependencies.
- Experience designing and troubleshooting scalable, resilient, event-driven systems, including asynchronous processing, observability, audio streaming, recording, and media-processing workflows.
- Experience using GitHub Copilot and Claude for implementation, debugging, code reviews, prototyping, and end-to-end test scenarios.
- Experience owning work from requirements through production deployment and diagnosing cross-service failures using logs, telemetry, correlation IDs, and distributed traces.
- Expertise in WebSockets, gRPC, GitHub-based CI/CD workflows, and Azure Service Fabric.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.