Site Reliability Engineer

Position: Site Reliability Engineer I
Job-:
Technology

Location:

Arlington, TX, United States;
Irving, TX, United States Workplace:
Hybrid

Schedule:

Full time Posted:
Why GMF Technology?

At GM Financial, innovation drives everything we do. We’re not just adopting technology — we’re shaping the future of software delivery. From generative AI and cloud-native platforms to advanced release engineering practices, our teams are redefining how financial technology operates. This role is central to that transformation, influencing how we build, release, and scale software globally.

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

Location:

Arlington, TX Work Arrangement:
Hybrid – 2 days onsite, 3 days remote per week Sponsorship Notice:
At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.

Qualifications What Makes You An Ideal Candidate?Thorough command of both the Windows and Linux Operating Systems, with strong background in troubleshooting either

Knowledge of native Kubernetes or related enterprise container platforms such as Open Shift Good understanding of the mechanics of this platform and the deployment pipeline that feeds it Knowledge of Public Cloud Governance frameworks, architectures, configurations, services, and solutions, specifically within Microsoft Azure, but may also include AWS and GCPKnowledge in core Azure services like Azure Kubernetes Service, CosmoDB, Azure Functions, Azure Storage Entities and Concepts, Azure CLI and Powershell Cmdlets Knowledge in Azure organizational entities such as Departments, Accounts, Subscriptions, Resource Groups and Management Groups Strong automation skills in Linux and Windows including bash, python, and Powershell Extensive experience with Terraform plans and associated development

Knowledge of Arm Templates and various related automation methods within Azure

Experience with modern source control repositories (e. g. Git) and devOps toolsets (Jenkins/ Ansible etc) and familiarity with Agile/ Scrum methodologies

Experience with cloud-native and microservice architectures and an understanding of design principles for scalability, performance, and reliability

Experience with distributed systems, asynchronous messaging, and networking protocols

Experience with open source applications, frameworks, and libraries

Fast learner; proactive thinker

Ability to innovate, automate, and continually improve processes

Excellent verbal and written communication skills

Possess critical thinking and analytical skills

Capacity to take initiative; desire to become a self-starter

Willingness to find problems and come up with creative solutions

Ability to balance priorities in order to meet multiple requirements and deadlines while ensuring priority objectives receive proper emphasis

Ability to accept change and adapt to shifting priorities

Effective time management and prioritization skills

Able to think and react positively and professionally when faced with obstaclesA strong willingness to learn, and accept instruction

Advanced job related certifications preferred but not required

Additional Knowledge and Skills Working effectively within an AI enabled environment:  Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights

Familiarity with AI assisted research, summarization, and content generation

Understanding of responsible AI use, including ethics and data protection Education & Experience 3-5 years of experience in cloud computing, Dev Ops, and all related automation disciplines…