Microsoft Azure API Management Lead

Job title- Microsoft Azure API Management Lead

Location: REMOTE

Duration: 3 months with the possibility of extension/conversion

Pay rate- $50/hr- $54/hr

Summary

The Microsoft Azure API Management Lead owns the end-to-end delivery and operations of enterprise APIs on Azure - architecture, development (Python), security, deployment, monitoring, and support. The role also leads migration of legacy integrations to the Azure APIM platform and promotes engineering standards and effective use of GenAI tools across the team.

Responsibilities

• Architect and develop Azure APIs and applications in Python on Azure integration services (e.g. API Management, Functions, Service Bus, Kubernetes, Key Vault).
• Design and implement new features and functionality.
• Ensure high performance and responsiveness of applications.
• Test and deploy fixes and enhancements to apps and APIs to all environments.
• Analyze project requests and define detailed work items to rewrite existing APIs and integrations and migrate them to Azure cloud services, delegating tasks to lower-level team members and resources.
• Troubleshoot production issues in a timely manner and appropriately prioritize support tasks for best business performance.
• Apply GenAI tools effectively to improve delivery speed and quality by crafting prompts, validating outputs, and sharing reusable patterns with the team.
  
  

Qualifications

Education

• Bachelor's degree in computer science or equivalent education/professional experience required
  
  
  

Experience

• 7-10 years' experience in an enterprise development environment
• 6 years of hands-on experience with Azure integration/API management
• 6 years of hands-on experience developing in Python
  
  
  

Technical Skills

• Deep knowledge of design and integration principles for complex IT environments.
• Executing migrations of APIs and integrations to Azure-based integration platforms/technology stacks, including refactoring patterns, validating parity, and coordinating cutover to minimize downtime.
• Implementing API-led and event-driven integration patterns using Azure services, including deployment and monitoring tools.
• Automating CI/CD processes and experience using source control tools like GitLab.
• Building and securing APIs in Azure APIM using policies, OAuth 2.0 and Entra, client certificate (mTLS) where applicable, and API governance practices.
• Operating and administering Azure platform components with infrastructure-as code (IaC) tools (Terraform / OpenTofu), Azure CLI and browser portal UI.
• Troubleshooting using Azure monitoring and establishing actionable observability for APIs in external tools like Splunk.
• Developing containerized Azure Functions and integration projects using Visual Studio Code and deploying Azure Kubernetes containerized integration workloads.
• Expertise in designing and implementing complex data transformations with reusable transformation libraries, including multi-level mappings and translations.
• Writing unit, integration and functional tests for repeatable results.
• Developing and interfacing with MS SQL Server and Oracle DBaaS relational database systems.
• Using GenAI assistants and agents such as GitHub Copilot to accelerate software delivery through effective prompt writing and iteration.
  
  
  

Key Competencies

• Successfully work with both technical and non-technical members of multiple teams in a fast-paced, technical environment.
• Able to work independently, manage assigned responsibilities, and stay aligned with team goals.
• Successfully architect and interpret solutions to complex business problems.
• Lead platform/application migration planning and execution, aligning stakeholders on approach, risk, and cutover to ensure continuity of service.
• Champion engineering quality and delivery practices (automation, testing, documentation, standards), mentoring others to improve code maintainability.
• Lead troubleshooting and root-cause analysis efforts, driving incident resolution and guiding teams toward durable, preventative fixes.
• Encourage effective use of GenAI tools to safely and securely improve delivery speed and quality.
• Working knowledge of MuleSoft Runtime and Anypoint Platform a plus