Platform Engineering | Google Cloud | Data & AI Enablement
We are looking for a Senior Developer to help build and evolve the CI/CD frameworks used by our Data and AI Platform teams.
This role is focused on building reusable platform capabilities rather than one-off project-specific implementations. You will work closely with data engineers, AI/ML engineers, and platform teams to design reusable pipelines, automation frameworks, deployment patterns, and self-service engineering capabilities for modern data and AI workloads on Google Cloud Platform.
The right person for this role is hands-on, comfortable writing production-quality code, and has a strong understanding of both cloud services and CI/CD engineering practices. You should be able to take complex platform requirements and turn them into scalable, reusable frameworks that engineering teams can easily adopt.

Key Responsibilities
Build Platform CI/CD Frameworks
- Design and develop reusable GitLab CI/CD frameworks for Data and AI platform teams.
- Create reusable pipeline templates, deployment workflows, validation steps,



and automation standards that can be adopted across projects and environments.
- Build self-service deployment capabilities and golden-path engineering workflows for Data & AI teams.

Enable GCP Data Platform Deployments
- Build deployment patterns and automation for core GCP data services including:
- Dataproc
- BigQuery
- Dataform
- Cloud Composer
- Google Cloud Storage
- Dataflow
- Bigtable
- Cloud Spanner
- Enable teams to deploy, configure, and operate these services through reliable and repeatable CI/CD processes.
- Design frameworks supporting multi-setting and multi-tenant deployment patterns.

Support Data Pipeline Delivery
- Design CI/CD workflows for:
- Batch data pipelines
- Streaming workloads
- Transformation logic
- Orchestration workflows
- Environment-specific releases
- Work with engineering teams to improve how data pipelines are built, tested, promoted, and deployed a

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