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Remote mid-level DevOps role with popular title and broad skill demands increases candidate competition.
DevOps skills are transferable across industries, though Databricks and FinOps increase domain specificity.
Explicit 3+ years and multiple mandatory technologies (AWS, Terraform, Databricks, Jenkins, Python) tighten shortlisting.
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Manage and maintain scalable, secure, and cost-efficient AWS cloud infrastructure including Databricks on AWS.
Design and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments.
Develop automation scripts in Python and Shell; troubleshoot production issues and ensure compliance with security and governance standards.
3+ years of experience in DevOps, cloud engineering, or related roles.
Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda, etc.) and Databricks platform (cluster setup, job execution).
Experience with CloudBees/Jenkins for CI/CD pipeline implementation and Git-based version control.
Bachelor’s degree in computer science, IT, engineering, or related field.
Experienced in automating and managing complex cloud infrastructure in AWS with a focus on data platforms (Databricks).
Strong scripting skills including Python and Groovy to drive operational efficiencies and automation.
Familiar with Agile/Scrum environments and implementing FinOps best practices to optimize cloud costs.