Job Description

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.

About The Role:

The Site Reliability Engineer under the general direction from the leadership will assist in the day-to-day tasks critical to the team's success. The position will be responsible for supporting cloud infrastructure architecture and components, including hybrid cloud and Public Cloud platforms. This will include prototyping, initiating, and operationalizing of Public Cloud solutions. The role will also be supportive of overall Cloud Transformation initiatives designed to meet key goals in creating a service-driven culture through performance and delivery of SaaS, PaaS, and IaaS solutions by public cloud vendors such as Azure and AWS. The Site Reliability Engineer will be responsible for configuration, efficiency, and performance of the deployed public cloud solutions. The scope of the role includes not only cloud engineering, but advanced level automation capabilities, and even some overlap into software development disciplines.

In this role you will:

• Design and automate governance framework across cloud environments
• In partnership with provisioning teams, and in accordance with policy frameworks, automate identity and access management in cloud environments for enabling users and services
• Partner with various delivery teams in enabling cloud services and the infrastructure as code patterns to facilitate automated deployments
• Work with various dev, ops and security stakeholders to provide solutions that meet security and governance requirements while minimizing impact on developer productivity
• Proactive monitoring, logging, audits and automated policy enforcement for security and cost compliance
• Ensuring services availability and continuity through proper response to incidents and requests
• Work with management to build the long-term strategic roadmap for the team, providing mentorship to engineering peers seeking to up-skill
• Work in evolving operating model based on agile / scrum and SRE practices
• Assist Cloud Transformation and related Squads with the design of Automation and Configuration Management
• Identify, evaluate, and recommend opportunities for automation; All automated processes should be maintainable, simple, and leverage a CI/CD pipeline release process where possible
• Develop test plans and accept items for production release
• Assist in development of automated post-release validation
• Develop and maintain cloud integration, script documentation and other standards that align with enterprise architecture standards
• Participates in business discussions, solution architectures, and customer-related activities when required
• Prototyping and testing of infrastructure components
• Validates and contributes to operational testing and change plans
• Provides Tier 3 automation support for cloud ecosystem, infrastructure, and automation
• Assist in various cloud reporting activities
• Platform and service monitoring responsibilities within cloud ecosystems
• Assists in the design of highly available, fault tolerant and cloud DR failover capabilities

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 GCP
• Knowledge 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 obstacles
• A 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, DevOps, and all related automation disciplines preferred
• High School Diploma or equivalent required
• Bachelor’s Degree in related field or equivalent work experience within the IT field required

What We Offer Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation Competitive pay and bonus eligibility

Work Life Balance Flexible hybrid work environment, 2-days a week in office

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