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Metro-based generalist AWS/DevOps role with broad skillset attracts high applicant density.
Cloud, Kubernetes, Terraform, and Linux skills are broadly transferable across industries.
Specific AWS, Terraform, Kubernetes and scripting requirements but no explicit years, so moderate strictness.
Support AWS cloud infrastructure deployment, maintenance, and troubleshooting, ensuring scalability within Data Engineering products.
Automate operational tasks and workflows to improve efficiency, including implementation of observability via monitoring tools like NewRelic.
Contribute to documentation, process improvements, and support of scalable, resilient application architectures.
Experience supporting cloud infrastructure, automation, or DevOps tasks with hands-on AWS platform experience.
Proficiency in Infrastructure as Code tools such as Terraform and scripting skills in Python.
Experience with container orchestration using Kubernetes and Helm, and proficiency with Linux system administration.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable operating in a collaborative team supporting live AWS cloud products within a Data Engineering domain.
Skilled in proactive automation of repetitive operational tasks and workflow improvements.
Experience troubleshooting cloud and containerized environments with a focus on scalable, resilient architectures.