DevOps Engineer-II
Deutsche Telekom AG (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 20–32 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 deployment automation for GCP Data and AI platforms.
- Build self-service deployment capabilities and scalable platform tools for core GCP data services such as Dataproc, BigQuery, Dataform, Cloud Composer, Dataflow, Bigtable, and Spanner.
- Collaborate with data, AI, platform, and infrastructure teams to deliver standardized pipeline, deployment, and release management frameworks across environments.
Minimum Requirements
- Strong experience designing and building CI/CD frameworks for platform or engineering teams.
- Expert-level knowledge and hands-on experience with Google Cloud Platform and key data services: Dataproc, BigQuery, Dataform, Cloud Composer, GCS, Dataflow, Bigtable, Spanner.
- Proficiency with GitLab CI/CD pipeline design and automation.
- Strong programming skills in Python and hands-on experience with Go.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in creating reusable, scalable CI/CD frameworks rather than one-off solutions, supporting multi-environment and multi-tenant deployments.
- Skilled in data pipeline design including batch processing, streaming architectures, orchestration, and environment promotions.
- Practiced in partnering with cross-functional teams to translate complex platform requirements into operational standards and developer self-service capabilities on Google Cloud.