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Popular DevOps title, mid-level experience, and metro location increase candidate competition significantly.
Cloud and DevOps skills are transferable, but Databricks/ML platform specialization raises industry specificity.
Multiple mandatory filters: 5+ years, 3+ years Databricks, plus Terraform/AWS/GitLab CI/CD requirements.
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Design, build, and administer enterprise-scale Databricks platform on AWS to support scalable analytics and AI workloads.
Develop and maintain infrastructure as code using Terraform and automate deployments with GitLab CI/CD; ensure platform security, monitoring, and operational reliability.
Collaborate with AI/GenAI/RAG developers, data scientists, and engineers to enable advanced AI capabilities, MLOps processes, and governance on Databricks.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
5+ years experience in cloud platform engineering, DevOps, data platforms, or related roles.
3+ years hands-on experience with Databricks on cloud platforms.
Strong experience with AWS (mandatory), Terraform, and GitLab CI/CD.
Experienced in architecting and administrating large-scale data analytics and AI platforms, specifically Databricks on AWS environment.
Strong collaboration skills to work with AI/ML developers, data scientists, and infrastructure teams for integrated platform delivery.
Proficient in infrastructure automation, security, and operational support for enterprise cloud data platforms.