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Known global brand, mid-level generalist DevOps role, metro location, and popular skillset increase competition.
Databricks and MLOps focus increases domain specificity, but cloud DevOps skills remain fairly transferable.
Explicit 5+ years and required Databricks, Terraform, and AWS skills enforce strict shortlisting.
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Design, build, and administer enterprise-scale Databricks analytics and AI platform on AWS.
Develop and maintain scalable, secure platform capabilities using Terraform, GitLab CI/CD, and AWS services.
Collaborate with AI, data scientists, and engineering teams to support AI/GenAI/RAG capabilities, MLOps processes, and ensure platform governance and reliability.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience in cloud platform engineering, DevOps, data platforms, or related roles.
3+ years hands-on experience with Databricks.
Strong experience with AWS, Terraform, and GitLab CI/CD.
Experienced in managing enterprise data analytics and AI platforms with a focus on operational reliability and security.
Proficient in cross-team collaboration with AI/ML developers and data engineering to operationalize AI/GenAI and MLOps workloads.
Skilled in infrastructure as code and CI/CD automation to support scalable cloud platforms.