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Description Lead the end-to-end DevOps and infrastructure function for an advanced analytics platform deployed on GCP. The role owns infrastructure-as-code, CI/CD pipeline design and governance, multi-environment promotion strategy, MLOps infrastructure, multi-tenant provisioning, and production reliability - ensuring the platform scales securely across clients and geographies. Requirements Domain Requirement Cloud Platform Deep hands-on expertise with GCP - Compute, Networking, IAM, Cloud Run, Cloud SQL, BigQuery, Cloud Storage, Artifact Registry, Vertex AI, Cloud Composer Infrastructure as Code Production-grade Terraform - modules, workspaces, remote state (GCS), state locking, Terragrunt wrappers; experience managing 4+ environments from a single codebase CI/CD GitLab CI/CD - pipeline design, YAML templating, multi-stage deployment, manual gates, Kubernetes executor runners, pipeline optimization Containers Docker containerization, image lifecycle management, Artifact Registry, Cloud Run deployment patterns Networking VPC design, private connectivity, HTTPS Load Balancers, SSL/TLS, DNS management, CDN/WAF integration (Akamai or Cloudflare) Databases Operational management of Cloud SQL (PostgreSQL) and BigQuery - provisioning, backups, replication, access control Security GCP IAM, service accounts, workload identity, secret management, least-privilege enforcement, Cloud Armor Monitoring Setting up observability stacks - GCP Cloud Monitoring/Logging, alerting policies, SLO tracking Scripting Proficiency in Python and Bash for automation, glue scripts, and pipeline tooling Version Control Advanced Git workflows, branch protection, MR-based collaboration, GitOps principles Analytics & Data Platform Domain Skills Multi-Tenant Infrastructure: Experience provisioning isolated per-client resources (datasets, databases, storage buckets, service accounts) from parameterized IaC templates Data Pipeline Infrastructure: Managing Cloud Composer/Airflow environments, DAG deployment, and orchestration of BigQuery PostgreSQL sync pipelines MLOps Infrastructure: Provisioning Vertex AI Workbenches, model pipeline compute (including GPU), and model artifact storage with governed access Environment Parity: Maintaining functional parity across dev/qa/uat/prd with differences limited to scaling - ensuring consistent data architecture, networking, and IAM across tiers Client Onboarding Automation: Automating tenant provisioning via Terraform - dual-database strategy (workspace DB + published DB), BigQuery datasets, GCS buckets, and IAM bindings per client Good-to-Have Experience with Helm charts for Kubernetes-based auxiliary services Familiarity with Akamai CDN/WAF configuration and integration with GCP Load Balancers Exposure to WPP Open OS or similar micro-frontend hosting platforms (DevHub publishing, CSP configuration) Experience with Cloud Functions for lightweight serverless glue logic Knowledge of Redis cache provisioning and management Exposure to Pub/Sub for event-driven pipeline triggers Experience managing GitLab seat licensing and repository access governance at an organizational level Familiarity with data governance, retention policies, and GDPR-aligned infrastructure design Certification: GCP Professional Cloud DevOps Engineer or equivalent Soft Skills Strong ownership mindset for platform reliability and production uptime Ability to create and maintain clear documentation - runbooks, ADRs, environment specs, and deployment guides Effective cross-functional collaborator - comfortable working with backend engineers, data scientists, QA, and product stakeholders Proactive problem solver who anticipates infrastructure bottlenecks and builds for scale Calm under pressure - able to lead incident response and post-incident reviews Job responsibilities Key Responsibilities Infrastructure & IaC Own and evolve the Terraform codebase for provisioning all GCP resources - VPC, Cloud SQL (PostgreSQL), Cloud Run, Load Balancers, Artifact Registry, BigQuery, Cloud Composer (Airflow), Cloud Storage, and Vertex AI Workbench Implement modular, parameterized Terraform modules using Terragrunt wrappers aligned with the Measure Project Factory templates Manage Terraform state (GCS backend with state locking) and ensure consistent, drift-free environments across dev qa uat prd Provision and manage per-client infrastructure (datasets, databases, buckets, service accounts) as part of the multi-tenant onboarding process CI/CD Pipeline Design & Governance Design, maintain, and optimize GitLab CI/CD pipelines for frontend, backend (FastAPI/Python), infrastructure, and data engineering deployments Implement environment promotion workflows with appropriate manual gates, MR approval policies, and branch protection rules Enforce quality gates - build-fail enforcement on unit tests, SonarQube, code coverage thresholds, and configuration-policy validation Manage GitLab Kubernetes executor runners and pipeline caching .
India alone has 1,433 of them. Here's how to pick your next move.
4.658Jobs
1.433IN
70%EN
The devops job market is concentrated. India has 1,433 open roles, Poland has 560, and the US has 432. If you're based elsewhere or willing to relocate, knowing where the volume is helps you focus your search instead of applying blind.
Three-quarters of the ads are written in English—3,280 out of 4,658. This tells you about the ad itself, not whether the role requires you to speak English on the job. Check each posting carefully for language expectations.
A handful of employers are hiring hard right now. FullStack has 69 open devops positions, Link Group has 57, Upvanta has 36, and FlexBoard has 28. If you're building a target list, these four are worth researching deeply—they're actively scaling.
When you interview, expect questions about your incident response process. Hiring managers want to know how you've handled a real outage: what monitoring alerted you, what you did first, and what you'd do differently next time. Prepare a story with those three pieces.