6 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Lead the design, development, and operation of platform services and APIs for provisioning, scaling, and securing containerized compute.
- Drive architecture and technical strategy for Azure Container Instances, Service Fabric, and Azure Kubernetes Service, including hosting-model migrations.
- Own networking, identity, and workload-isolation components, including virtual network integration, subnet delegation, managed identity, and container isolation.
- Own platform features end to end through design, deployment, rollout, and live-site support in a DevOps model.
- Participate in on-call rotations, mitigate production incidents, and drive root-cause analysis, post-incident reviews, and corrective actions.
- Use telemetry, logging, and monitoring to improve reliability, performance, capacity, and infrastructure cost.
- Partner with Dynamics 365, Power Platform, and Copilot teams on platform requirements, feature development, and workload onboarding.
- Provide technical leadership through design reviews, mentoring, and multi-quarter platform initiatives.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
- Preferred: master's degree with 6+ years of experience, bachelor's degree with 8+ years of experience, or equivalent experience.
- Deep hands-on experience with Docker, Kubernetes, and Azure compute services such as AKS, Azure Container Instances, Service Fabric, or Virtual Machine Scale Sets.
- Experience with C#, .NET, core Azure platform services, infrastructure as code, CI/CD, safe deployment practices, ARM or Bicep templates, and Azure DevOps pipelines.
- Experience with Azure networking concepts including virtual networks, DNS, and load balancing.
- Experience operating high-availability services, including on-call ownership, incident command, and root-cause analysis.
- Experience with observability and diagnostics tooling such as distributed tracing, metrics, and log analytics.
- Experience with generative AI, agentic workloads, or LLM/ML systems.
- Ability to meet Microsoft Cloud Background Check and other applicable security screening requirements.
Benefits
- The typical U.S. base pay range is USD $119,800-$234,700 per year; specific San Francisco Bay Area and New York City metropolitan area ranges are USD $160,200-$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- Microsoft Cloud Background Check is required upon hire or transfer and every two years thereafter.
Tech Stack
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.