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Job Description
Structured overview of role & requirementsAbout 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.