01/25/2026

Cloud Engineer II

Job Description

Why GMF Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

Flexible hybrid work environment (onsite 2 days a week/3 days remote) at our Arlington (AOC1), TX office.

About The Role:  

A cloud engineer plays a crucial role in supporting Azure API Management (APIM), helping organization manage, secure, and scale their APIs. Supporting Azure APIM requires technical expertise, strategic planning, and teamwork. By performing below outlined job duties, a cloud engineer needs to ensure the efficient operation, security, and scalability of APIs, essential for an organization's digital transformation.

API Management

  • Designing, creating, and deploying APIs
  • Monitoring API usage and performance
  • Implementing versioning and updates
  • Ensuring API security through authentication and authorization mechanisms

Platform Configuration and Optimization

  • Setting up APIM instance and configuring policies
  • Optimizing performance through caching and load balancing
  • Scaling the platform to accommodate fluctuating workloads

Security and Compliance

  • Implementing security policies and practices to protect data
  • Ensuring compliance with relevant standards and regulations
  • Regularly monitoring and auditing security measures

Integration and Automation

  • Integrating APIM with Azure DevOps for CI/CD pipelines
  • Automating deployment and monitoring tasks
  • Developing scripts and tools to streamline operations

Documentation and Support

  • Creating and maintaining comprehensive documentation for APIs and platform configurations
  • Providing technical support and troubleshooting issues
  • Training and mentoring team members on best practices

Performance Monitoring and Troubleshooting

  • Utilizing Azure Monitor and Application Insights for performance tracking
  • Identifying and resolving bottlenecks and issues
  • Conducting root cause analysis for persistent problems

Collaboration and Stakeholder Management

  • Be available for an on-call rotation to participate in troubleshooting and communication efforts outside of normal business hours
  • Working closely with development and operations teams
  • Communicating with business stakeholders to understand requirements
  • Providing regular updates and reports on API performance and issues

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