7 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Design, develop, and maintain engineering infrastructure, tools, and services powering CI/CD for Microsoft Learning and Skilling platforms.
- Develop, test, deploy, optimize, debug, and maintain scalable and secure application and database features for Skilling platforms.
- Build Copilot and other AI-assisted application features and develop or use AI/LLM models to analyze test failures and identify root causes.
- Support existing services and enterprise integrations while improving service reliability, observability, debuggability, performance, and operational efficiency.
- Automate manual testing, integrate test automation and quality gates, and improve test framework reliability.
- Lead software engineers and provide technical and architectural direction across teams and organizations.
- Identify dependencies, coordinate cross-team work, resolve conflicts, and manage downstream and upstream effects of technical solutions.
- Mentor engineers and contribute documentation, skill-building sessions, reusable guidance, and internal technical communities.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- 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.
- 7+ years of experience with cloud development principles and patterns, including loosely coupled architectures, microservices, and DevOps models.
- Proficiency in C#, .NET, React, JavaScript/TypeScript, or equivalent languages and frameworks.
- 7+ years of experience leading, managing, and driving technical and architectural dependencies.
- 7+ years of hands-on experience developing applications with RESTful APIs, microservices architecture, and ASP.NET.
- 3+ years of production experience with infrastructure templates and scripts, including ARM templates or Bicep, and building deployment pipelines from scratch.
- Experience with Azure cloud and hybrid infrastructures, architecture, migrations, technology management, App Service, AKS, ACA, Functions, APIM, Logic Apps, Azure DevOps, Azure SQL, Cosmos DB, and Azure Data Factory.
- Experience designing and shipping AI/ML or GenAI solutions involving RAG, enterprise search, vector retrieval, LLM orchestration, agentic workflows, AI evaluation or monitoring, and safety or quality measurement.
- Experience building telemetry, error reporting, observability modules, pipelines, and dashboards.
- Experience optimizing cloud infrastructure for cost savings and operational efficiency.
- Knowledge of data structures, algorithms, software design principles, problem solving, debugging, and CI/CD test-gate tooling.
- Strong communication and collaboration skills across software engineering, program management, product, design, and data science teams.
Benefits
- The role 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 accommodation support during the application process.
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.