3 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead AI-native practices across design, coding, testing, debugging, documentation, and operational analysis.
- Identify and apply AI to improve developer productivity, automation, engineering velocity, and problem solving while maintaining human accountability, security, privacy, and quality controls.
- Provide technical leadership for the Forensics Pipeline across Substrate, Azure COSMIC, Synapse, storage, routing, transformation, and related platform components.
- Own complex engineering problems end to end, including requirements, architecture, implementation, validation, deployment, telemetry, production operation, and continuous improvement.
- Design and build high-scale, resilient, secure, privacy-conscious, and cost-efficient distributed systems.
- Develop, debug, test, review, and operate production code primarily in C# and Python.
- Develop and operate large-scale data-processing solutions using Azure COSMIC and Synapse.
- Establish observability and use telemetry to assess reliability, latency, capacity, operational health, and production behavior.
- Lead architecture and design reviews, evaluate technical tradeoffs, and produce proposals for complex or ambiguous problems.
- Drive secure-by-design development, automated testing, code quality, safe deployment, operational readiness, incident prevention, and production support.
- Diagnose production problems, lead root-cause investigations, and implement durable improvements.
- Collaborate across Substrate, Azure, security, and partner teams while resolving cross-team dependencies.
- Mentor engineers through design discussions, code reviews, technical guidance, experimentation, and best-practice sharing.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Ability to pass Microsoft Cloud Background Check and other applicable Microsoft, customer, or government security screenings.
- Preferred: master’s degree and 8+ years of experience, or bachelor’s degree and 12+ years of experience, or equivalent experience.
- Demonstrated AI-native software engineering experience using generative AI across coding, design, testing, debugging, documentation, analysis, or developer-productivity workflows.
- Experience applying AI beyond basic code completion to improve engineering velocity, quality, automation, or problem solving.
- Understanding of responsible AI engineering, including validation, human accountability, security, privacy, and engineering controls.
- Strong proficiency with C#/.NET and Python and experience designing production-quality systems.
- Experience designing, developing, and operating large-scale distributed systems or cloud services.
- Experience with cloud-scale data processing, distributed processing, data pipelines, storage systems, streaming or event-driven architectures, and high-volume telemetry.
- Experience leading complex technical projects across multiple components and teams, including ambiguous requirements or technical approaches.
- Understanding of scalability, availability, resiliency, capacity planning, performance, failure isolation, security, maintainability, and cost.
- Experience with production services, telemetry, monitoring, incident investigation, debugging, deployment, live-site response, and root-cause analysis.
- Ability to make technical tradeoffs, communicate architecture decisions, influence stakeholders beyond the immediate team, lead reviews, and mentor engineers.
Benefits
- Typical U.S. base pay range is $142,800-$274,800 per year; San Francisco Bay Area and New York City metropolitan area range is $188,000-$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days and accepts applications on an ongoing basis until filled.
- Microsoft is an equal opportunity employer and provides reasonable accommodation support during the application process.
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.