17 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead the design and development of large-scale self-service AI, agentic, and data-platform capabilities and frameworks.
- Advance AI-native software development through coding agents, agentic workflows, and harness engineering.
- Drive cross-team technical alignment with engineering and product teams to define requirements and deliver trusted end-to-end data solutions.
- Build and dogfood streaming scenarios including distributed tracing pipelines, near-real-time operational analytics, telemetry enrichment, and Microsoft 365 data workflows.
- Leverage Microsoft Azure, AI technologies, and open-source frameworks to deliver reliable, highly available production services.
Requirements
- Bachelor’s degree in computer science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Preferred: master’s degree with 8+ years of technical engineering experience, or bachelor’s degree with 12+ years of technical engineering experience, or equivalent experience.
- Experience with production big-data platforms, streaming pipelines, platform capabilities, state management, checkpointing, connectors, or performance tuning.
- Experience with Kubernetes, Cosmic, Azure, or comparable container infrastructure.
- Experience with Spark, Kafka, Airflow, distributed storage, analytical systems, or near-real-time data pipelines.
- Experience with Copilot, agents, LLM orchestration, retrieval, evaluation, or agent-assisted engineering and data workflows.
- Domain knowledge in distributed tracing, observability, production diagnostics, telemetry systems, or service reliability.
- Experience building large-scale distributed systems, cloud services, or enterprise platforms.
- Proficiency in one or more of C#, C++, Java, Python, or JavaScript, with the posting also listing C.
- Experience designing reliable, highly available production services and influencing technical direction across teams.
- Ability to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter, along with applicable customer or government security screenings.
Benefits
- The typical U.S. base pay range is $142,800–$274,800 per year; a separate range applies to the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for at least five days, with applications accepted on an ongoing basis until filled.
Tech Stack
Categories
BackendData Engineering
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.