Lead DevOps Automation Engineer

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, TX office.

The Lead Dev Ops Automation Engineer provides technical leadership in designing and delivering solutions that enhance developer productivity across the enterprise. This role is responsible for automating security and governance controls, and for the implementation and maintenance of tools and infrastructure supporting the SDLC pipeline and configuration management capabilities.

• Develop and support tools and infrastructure for SDLC pipelines and configuration management
• Architect, implement, and deploy CI/CD pipelines for software and infrastructure delivery
• Lead knowledge sharing of standards, technical approaches and tooling capabilities across the team
• Communicate technical strategies and implementation status to stakeholders
• Troubleshoot and resolve issues within team‑owned infrastructure and platforms
• Drive continuous improvement of tools, processes and platform capabilities
• Plan, install and upgrade tools and infrastructure in alignment with platform needs
• Promote and advocate for Dev Ops best practices, standards and platform capabilities across the organization
• Represent stakeholder requirements and collaborate with cross‑functional teams across the enterprise
• Lead or facilitate critical incident response and escalation activities as needed
• Manage work intake through Agile processes and team workflows
• Track and report platform KPIs for stakeholder visibility and decision‑making
• Participate in on‑call rotation and provide after‑hours support as required

• Experience designing, implementing, and managing CI/CD pipelines using tools such as Git Hub, Azure Dev Ops, Artifactory, Jenkins, Octopus Deploy and related technologies
• Experience with infrastructure‑as‑code and configuration management tools such as Terraform, ARM templates, Cloud Formation, Ansible, Chef, Puppet, Salt or DSC
• Strong scripting and automation experience using languages such as Python, JavaScript, Bash, Power Shell, Ruby, Go or C#
• Experience developing software or automation solutions using at least one modern programming language (e.g., Python, JavaScript, Go, C#)
• Experience working with enterprise platforms, operating systems, web applications and microservices architectures
• Experience working with containerized environments, including Docker, Kubernetes or other container orchestration platforms, with ability to deploy, support and troubleshoot containerized workloads
• Experience with web and API technologies, including REST, JSON, XML, SOAP and related standards
• Knowledge of API authentication and authorization mechanisms, including OAuth
• Working knowledge of networking concepts and troubleshooting (TCP/IP, DNS, load balancing, reverse proxies, SSL/TLS)
• Knowledge of cloud platforms and architectures across public cloud providers (e.g., Azure, AWS), including services such as Blob Storage, EC2, S3, Cosmos DB, Azure Functions, AKS and EKS
• Knowledge of IT security, system administration and infrastructure best practices
• Experience working with web server technologies such as NGINX, Apache, Tomcat and IIS
• Experience administering and maintaining servers and environments
• Strong troubleshooting and analytical skills
• Excellent communication, technical writing and documentation skills
• Demonstrated ability to collaborate effectively and build strong relationships with team members and stakeholders