Site Reliability Engineer I

About the Role

At GM Financial, innovation drives everything we do. We’re shaping the future of software delivery, from generative AI and cloud-native platforms to advanced release engineering practices. This Site Reliability Engineer 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.

Responsibilities

• 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.
• Support cloud infrastructure architecture and components, including hybrid cloud and Public Cloud platforms, through prototyping, initiating, and operationalizing Public Cloud solutions.
• Support 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.
• Responsible for configuration, efficiency, and performance of deployed public cloud solutions, including advanced-level automation capabilities and overlap into software development disciplines.

Requirements

• Thorough command of both the Windows and Linux Operating Systems, with a strong background in troubleshooting either.
• Knowledge of native Kubernetes or related enterprise container platforms such as OpenShift.
• Good understanding of the mechanics of Kubernetes 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 of core Azure services like Azure Kubernetes Service, CosmosDB, Azure Functions, Azure Storage Entities and Concepts, Azure CLI, and PowerShell Cmdlets.
• Knowledge of 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 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.

Qualifications

• 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 a related field or equivalent work experience within the IT field required.

Benefits

• Generous benefits package available on day one, including 401K matching.
• Bonding leave for new parents (12 weeks, 100% paid).
• Tuition assistance and training.
• GM employee auto discount.
• Community service pay and nine company holidays.

Pay

Competitive pay and bonus eligibility.

Schedule

Hybrid – 2 days onsite, 3 days remote per week.

Location: Arlington, TX.