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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, common DevOps title, mid-level experience, and metro Bangalore increase applicant competition.
Databricks-heavy data-platform focus and AWS multi-account patterns require domain-specific, less-transferable experience.
Explicit 6+ years requirement plus mandatory GitLab, Terraform, AWS, and Databricks skills make screening stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Own design, build, and maintenance of GitLab CI/CD pipelines and Terraform modules to automate AWS and Databricks platform engineering.
Improve deployment automation, release governance, monitoring, security access controls, and operational runbooks for a global Enterprise Data Platform.
Collaborate across data engineering, architecture, security, infrastructure, and support teams to implement a modern AWS-first data platform with reliable, scalable, and secure DevOps practices.
Minimum Requirements
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 services (S3, IAM, KMS, VPC, PrivateLink), and Databricks platform engineering and deployment automation.
Proficiency in scripting languages such as Python or Bash.
Ideal Candidate Profile
Experienced in driving platform automation and standardization across complex, multi-environment global data platforms.
Skilled in cross-functional collaboration with engineering, architecture, security, and support teams in Agile delivery models.
Strong troubleshooting and operational focus with ability to define and enforce engineering standards, release controls, and monitoring for production environments.