Site Reliability Engineer I

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 #LI-KC1

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