GCP Dev Ops Engineer

Tredence; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tredence is seeking a GCP DevOps/DataOps Engineer to design, automate, and maintain cloud infrastructure and data pipelines. You will collaborate with GCP Data Engineers and Analytics Consultants to build secure, production-grade pipelines for marketing and membership data across multiple environments.

Key responsibilities include IaC with Terraform, DataOps CI/CD using GitHub Actions/GitLab CI/Cloud Build, and implementing security controls, monitoring, and cost optimization on the GCP stack.

Qualifications

• 5+ years in DevOps/SRE and 3+ years on GCP.
• Hands-on Terraform expertise and modular design.
• Experience operationalizing data stacks on GCP.

Responsibilities

• IaC: design, provision, maintain modular GCP resources using Terraform.
• DataOps CI/CD: build pipelines for data workflows (BigQuery, Airflow, dbt, Dataflow).
• Security & Compliance: implement least-privilege IAM and data security standards.
• Observability: end-to-end monitoring and alerting for ingestion pipelines and analytics.
• Cost optimization: monitor costs and optimize resources across GCP compute and analytics.
• Client collaboration: coordinate with client teams on firewall rules and connectivity.

Skills

GCP

Terraform

Python

Bash

Docker

CI/CD

Data pipelines

Security

Networking

IAM

Tools

BigQuery

Cloud Composer (Airflow)

dbt

Cloud Dataflow

GitHub Actions

GitLab CI

Cloud Build

Artifact Registry

Job description

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.

Key Responsibilities

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


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


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


• Observability & Reliability: 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.


• Client & Stakeholder Collaboration: Coordinate with client platform engineering and infosec teams to navigate firewall rules, private connectivity, and compliance approvals.

Required Qualifications & Skills

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


• IaC & Automation: Strong 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.


• CI/CD Mastery: 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.

Preferred / Nice-to-Have

• 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