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Popular mid-level DevOps title, strong brand, metro focus and broad skillset requirements drive high competition.
Specialized Databricks and data-platform DevOps expertise required, limiting easy cross-industry transferability.
Explicit 6+ years plus mandatory Databricks, Terraform, GitLab and AWS skills create stringent shortlisting filters.
Own design, build, and maintenance of GitLab CI/CD pipelines and Terraform modules for AWS and Databricks infrastructure.
Automate and govern deployment, release management, monitoring, and security controls for a global Enterprise Data Platform using Databricks Asset Bundles and AWS services.
Collaborate cross-functionally to improve operational runbooks, release safety, and platform modernization including AWS migration efforts.
Bachelor's degree or equivalent in Computer Science, IT, Engineering, Data Engineering, or related field.
6+ years of experience in DevOps, platform engineering, cloud engineering, or data platform engineering.
Strong hands-on experience with GitLab CI/CD, Terraform, AWS (S3, IAM, KMS, STS, VPC, PrivateLink), and Databricks platform engineering.
Experience automating Databricks deployments using Databricks Asset Bundles and managing access controls via Unity Catalog or equivalent.
Proven ability to deliver secure, automated, and scalable DevOps practices for enterprise-scale data platforms with cross-team collaboration.
Experienced in multi-environment release governance, incident management, and infrastructure-as-code standards in AWS and Databricks.
Comfortable operating in complex, global, Agile environments with strong troubleshooting skills across cloud infrastructure, CI/CD, security, and data platform layers.