2 days ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Design, develop, and maintain engineering infrastructure, tools, and services supporting CI/CD for Microsoft Learning and Skilling platforms.
- Develop, test, deploy, optimize, and maintain scalable Skilling platform features, including application and database components.
- Build AI- and Copilot-enabled application features to improve user experience and productivity.
- Support existing services and integrations with enterprise line-of-business applications and improve service reliability and debuggability.
- Automate manual testing, implement test gates, and use AI/LLM-based tools to analyze test failures and identify root causes.
- Create design documentation, identify dependencies, coordinate across teams, and ensure security, performance, and reliability across system boundaries.
Requirements
- Bachelor’s degree in computer science or a related technical field and 2+ years of technical engineering experience with coding in C#, JavaScript, or Python, or equivalent experience.
- Preferred qualifications include a master’s degree with 3+ years of experience, or a bachelor’s degree with 5+ years of experience, or equivalent experience.
- At least 2 years of experience with cloud development principles, loosely coupled architectures, microservices, and DevOps practices.
- At least 2 years of experience with C#, .NET, and React; building deployment pipelines and using infrastructure-as-code templates such as Azure Resource Manager or Bicep; and database development with Azure SQL, Cosmos DB, or Azure Data Factory.
- Experience with Python, AI/LLM-based tools, RESTful APIs, microservices, ASP.NET, Azure AI Foundry, enterprise cloud and hybrid infrastructures, and scalable application design.
- Knowledge of data structures, algorithms, software design principles, and CI/CD platforms such as Azure DevOps.
- Production experience in at least two areas including automated secret and certificate management, private firewalled networks with VPNs, automated Kubernetes clusters, global multi-region technology stacks, automated API gateways, or code-first data pipelines.
- Strong communication and collaboration skills for working with software engineers, program managers, data scientists, and product leaders.
Benefits
- The typical U.S. base pay range is USD $102,100-$202,200 per year, with a separate range for the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for at least five days.
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.