Site Reliability Engineer I: Cloud & Automation
GM Financial
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Benefits offered by this job
Job summary
GM Financial is seeking a Site Reliability Engineer (SRE‑I) for a hybrid role in Arlington, TX. The candidate will support cloud infrastructure, including Azure and hybrid cloud platforms, and work on automation, monitoring, and reliability initiatives.
The role requires 3–5 years in cloud, DevOps, and automation, with strong skills in Linux/Windows, Terraform, Kubernetes, and scripting. 2 days in office, 3 days remote weekly. Sponsorship not available.
Qualifications
- 3–5 years of experience in cloud, DevOps, and automation.
- Experience with Azure services and container tech.
- Strong automation and scripting skills.
- Familiar with SRE principles and reliability basics.
- Exposure to SLOs/SLIs preferred.
Responsibilities
- Build foundational SRE concepts including observability, monitoring, incident response, and core systems.
- Perform standard operational tasks using established runbooks and tooling; escalate when needed.
- Troubleshoot production/environment issues with guidance and document findings.
- Demonstrate learning mindset; seek mentorship and share knowledge.
- Implement monitoring aligned to Golden Signals; validate telemetry in platforms.
- Follow Azure standards for automation and troubleshooting.
- Help ensure logging and correlation IDs are captured per standards.
- Assist with systems administration setup/configuration for supported services.
- Contribute to toil reduction via repeatable operational mechanisms.
Skills
Education
Tools
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.
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
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.
Responsibilities
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.
- Build and demonstrate a foundational understanding of SRE concepts, including observability, monitoring, incident response, and the core systems owned by the team.
- Execute standard operational tasks independently using established processes, runbooks, tooling, and escalation paths; raise issues when scenarios become complex or unfamiliar.
- Perform initial troubleshooting for clear production or environment issues with limited guidance; contribute findings and next steps to the broader resolution effort.
- Demonstrate ownership of learning by seeking mentorship, asking questions, and contributing back to shared team knowledge.
- Help teams apply SRE operational readiness practices using the SRE Checklist—with emphasis on detection/observability, performance, resiliency, automation, and operational readiness before go‑live.
- Assist with defining and implementing basic monitoring coverage aligned to Golden Signals (e.g., latency, traffic, errors, saturation/capacity) and validate telemetry appears correctly in monitoring platforms.
- Follow established standards for cloud based resources in Azure environment for automation and troubleshooting.
- Support logging and exception-handling hygiene by aligning to known standards (e.g., ensuring correlation IDs and key dimensions are captured where required).
- Assist and provide systems administration setup/configuration as needed for supported services and environments.
- Contribute to toil reduction by helping implement/maintain repeatable operational mechanisms (e.g., health checks/probes and monitoring configuration) as defined in standards and patterns.
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 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
- Exposure to Golden Signals–based monitoring (latency, traffic, errors, saturation) and the discipline of validating telemetry and alert behavior preferred
- Exposure to reliability engineering concepts such as SLOs/SLIs and how reliability goals connect to real production operations preferred
- Familiarity with cloud and runtime fundamentals (e.g., Windows/Linux basics and cloud platform exposure such as Azure) preferred
- Familiarity with modern engineering ways of working that support reliability outcomes (e.g., documentation habits, continuous improvement mindset in a DevOps culture) preferred
- Azure cloud environment preferred
- .net Coding preferred
- 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
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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