Senior DevOps Engineer (UDP)
Deutsche Telekom AG (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 25–45 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop reusable GitLab CI/CD frameworks and automation templates for Data and AI platform teams on Google Cloud Platform (GCP).
- Build and support deployment patterns and automation workflows for core GCP data services including Dataproc, BigQuery, Dataform, Cloud Composer, GCS, Dataflow, Bigtable, and Spanner.
- Collaborate with engineering teams to create self-service deployment capabilities and define standards for pipeline design, deployment automation, and CI/CD governance.
Minimum Requirements
- Strong experience designing and building CI/CD frameworks for platform or engineering teams.
- Expert-level hands-on knowledge of Google Cloud Platform data services: Dataproc, BigQuery, Dataform, Cloud Composer, GCS, Dataflow, Bigtable, Spanner.
- Strong experience with GitLab and GitLab CI/CD pipeline design, including pipeline templates and deployment automation.
- Programming experience with Python and hands-on development experience with Go. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building scalable, reusable CI/CD frameworks and automation specifically for data, analytics, or AI/ML platform workloads on GCP.
- Proficient in data pipeline design including batch processing, streaming, orchestration, and environment promotion workflows.
- Skilled at partnering with cross-functional teams to define practical engineering standards and improve developer experience through self-service platform tooling.