Site Reliability Engineer I

GM Financial•Arlington, TX

1d•Hybrid

About The Position

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.

Requirements

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
High School Diploma or equivalent required
Bachelor’s Degree in related field or equivalent work experience within the IT field required

Nice To Haves

Advanced job related certifications preferred but not required
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

Responsibilities

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