Job Description: GCP DevOps

We are looking for a GCP DevOps / DataOps Engineer to design, automate, and maintain the cloud infrastructure . In this role, you will work hand-in-hand with GCP Data Engineers, Analytics Consultants, and the client's central IT/platform teams to build automated, secure, and production-grade pipelines that ingest, clean, and model marketing and membership data across diverse acquisition and retention vehicles.

Infrastructure as Code (IaC): Design, provision, and maintain modular GCP cloud resources using Terraform, ensuring environment parity across Dev, Staging, and Production.

Build automated CI/CD pipelines (GitHub Actions / GitLab CI / Cloud Build) for data workflows, including BigQuery, Cloud Composer (Airflow), dbt, and Cloud Dataflow.

Implement least-privilege IAM, service account management, customer data security standards, VPC service controls, and encryption (KMS) aligned with US retail data governance.

Establish end-to-end monitoring, automated ing, and log routing across ingestion pipelines and analytical databases using Cloud Monitoring, Cloud Logging, and custom Slack/Teams notifications.

Cost Optimization & Performance: Partner with Data Engineering to monitor query costs, storage tiers, auto-scaling thresholds, and resource utilization across GCP compute and analytics engines.

Coordinate with client platform engineering and infosec teams to navigate firewall rules, private connectivity,



and compliance approvals.

Experience: 5+ years in DevOps/SRE, with at least 3+ years dedicated to Google Cloud Platform (GCP).

IaC & Automation: Solid expertise in Terraform (writing reusable modules, state management in GCS, automated drift detection).

Data & Analytics Stack: Practical experience operationalizing data stacks on GCP:

Google BigQuery (partitioning, clustering, slot management, CI/CD for schema migrations/dbt).

Cloud Composer / Apache Airflow (DAG deployment automation, dependency management).

Cloud Storage, Pub/Sub, and Dataflow/Dataproc.

Deep hands-on experience building multi-stage deployment pipelines (GitHub Actions, GitLab CI, or Cloud Build) with automated testing, linting, and security scanning (SonarQube, Trivy, or Snyk).

Scripting & Containers: Proficiency in Python and Bash; strong command of Docker containerization and container registry management (Artifact Registry).

Networking & Security: Solid understanding of GCP VPCs, Private Google Access, Cloud NAT, IAM policies, and Service Accounts.

GCP Professional Cloud DevOps Engineer or Professional Google Cloud Architect certification.

Experience in retail media, loyalty programs, or ad-tech data environments handling high-volume transaction/clickstream datasets.

Exposure to MLOps tools (Vertex AI pipelines, feature stores, model registry

📌 GCP Cloud DevOps Engineer (Pune)
🏢 Tredence
📍 Pune