1 day ago
Base Salary
$143k - $304k/yr
Responsibilities
- Set technical direction and own the architecture for platform services and APIs that provision, scale, and secure containerized compute.
- Drive multi-team, multi-quarter platform investments from ambiguous problem statements through design, staged rollout, and live-site operation.
- Lead networking, identity, tenant isolation, secure design, least-access practices, and validation of security invariants, including safe execution of untrusted and AI-generated code.
- Use debugging tools, tests, logs, telemetry, and verification methods to identify and resolve issues before production impact.
- Lead incident retrospectives, root-cause analysis, repair actions, recurrence prevention, and the on-call rotation.
- Drive capacity planning and infrastructure cost efficiency using telemetry and usage data.
- Partner with Azure compute, networking, and identity teams to align platform roadmaps with agentic workload requirements.
- Mentor engineers and improve organizational technical depth through design and code reviews, established methods, and best practices.
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 meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
- Preferred: master's degree and 8+ years of technical engineering experience, or bachelor's degree and 12+ years of technical engineering experience, or equivalent experience.
- Deep expertise with Docker, Kubernetes, and Azure compute services such as Azure Kubernetes Service, Azure Container Instances, Service Fabric, or Virtual Machine Scale Sets.
- Expertise with C#, .NET, and core Azure platform services.
- Experience with infrastructure as code, CI/CD, safe deployment practices, ARM or Bicep templates, and Azure DevOps pipelines.
- Knowledge of Azure networking concepts including virtual networks, DNS, load balancing, and multi-tenant isolation.
- Proven ownership of highly available services at scale, including on-call leadership, incident command, and root-cause analysis.
- Experience with observability and diagnostics tooling including distributed tracing, metrics, and log analytics.
- Experience with generative AI, agentic workloads, or LLM/ML systems and their infrastructure challenges.
- Demonstrated cross-organizational technical leadership through architecture and design reviews, mentoring, and engineering standards.
Benefits
- The typical U.S. base pay range is USD $142,800-$274,800 per year; specific ranges apply to the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
- Microsoft provides equal employment opportunity and reasonable accommodation support.
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.