2 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design, implement, and operate telemetry collection and processing services across Dataverse, Service Fabric, Kubernetes, and Finance and Operations.
- Own event schemas, filtering, transformation, routing, ingestion latency, completeness, delivery guarantees, and recovery from delayed or failed delivery.
- Build resilience using buffering, backpressure, retries, circuit breakers, dependency isolation, automated tests, load testing, and controlled fault injection.
- Enforce privacy, security, least-privilege access, auditing, data residency, regional, EU Data Boundary, and sovereign cloud requirements.
- Improve Azure Data Explorer ingestion, query performance, storage efficiency, retention, capacity management, and deployment automation.
- Instrument platform health, participate in on-call and incident response, perform root-cause analysis, and deliver lasting reliability improvements.
- Partner with service teams on instrumentation, onboarding, query design, operational readiness, documentation, and engineering reviews.
- Build AI-assisted diagnostics and Model Context Protocol integrations that help engineers discover telemetry, generate queries, and correlate evidence safely.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Preferred qualifications include a master’s degree and 6+ years of experience, or a bachelor’s degree and 8+ years of experience, or equivalent experience.
- Strong software engineering fundamentals in data structures, concurrency, asynchronous processing, automated testing, and production performance and reliability diagnosis.
- Experience with distributed data processing or telemetry pipelines, including ingestion, buffering, retries, partitioning, data quality, and throughput-latency-cost tradeoffs.
- Production experience with C#, Go, Java, C++, or another modern programming language.
- Experience operating services, including on-call ownership, live-site debugging, and post-incident improvement.
- Hands-on Azure Data Explorer and KQL experience, including ingestion, query optimization, retention policies, and shared analytics capacity management.
- Experience with Geneva, OpenTelemetry, Prometheus, or comparable observability platforms.
- Experience operating services on Kubernetes or Service Fabric, building stream-processing or data lake pipelines, and automating Azure infrastructure and deployments.
- Familiarity with multi-tenant cloud platforms, privacy-aware data handling, regional data residency, sovereign cloud operations, capacity planning, and telemetry cost optimization.
- Experience building AI-assisted developer tools, MCP integrations, or incident investigation automation with output evaluation, access controls, and operational safeguards.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
Benefits
- The role offers a U.S. base pay range of $119,800-$234,700 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of $160,200-$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for at least five days and accepts applications 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.