About the Role :

We are hiring a DevOps Engineer with around 3+ years of hands-on experience supporting and automating cloud infrastructure on Google Cloud Platform (GCP). You'll work alongside our engineering teams to keep environments reliable, ship code smoothly through CI/CD, and maintain visibility into how our systems are running. The focus is on solid, practical DevOps fundamentals - Infrastructure as Code, containers, pipelines, and monitoring - applied day to day on GCP. This is a growth role : you'll deepen your cloud and automation skills with room to take on more ownership over time.

DevOps & Automation :

- Provision and manage infrastructure as code using Terraform (writing and maintaining modules).

- Build and run containerized applications with Docker on Kubernetes (GKE) - deployments, scaling, and basic troubleshooting.

- Set up and maintain CI/CD pipelines using Cloud Build, GitHub Actions, GitLab CI, or Bitbucket.

- Manage source control workflows (Git) and image registries (Artifact Registry).

- Support backup, recovery, and autoscaling configurations across environments.

- Handle secrets and environment configuration securely (Secret Manager).

GCP Cloud & Networking :

- Manage core GCP services : Compute Engine, GKE, Cloud Run, and Cloud Storage (GCS).

- Configure and maintain VPCs, Subnets, Firewall rules, and Cloud Load Balancing.

- Administer access using Cloud IAM (service accounts, roles, basic policy).

- Support databases such as Cloud SQL / MySQL, MongoDB, and Redis (Memorystore).

Monitoring & Support :

- Set up and maintain monitoring and alerting with Cloud Monitoring and Cloud Logging.

- Build dashboards and alerts to catch infrastructure issues early.

- Participate in incident response and help troubleshoot performance problems.

- Provide operational support to data and application teams (e.g., keeping BigQuery and related workloads healthy - supporting, not building, the pipelines).

Required Skills :

- 3+ years of hands-on experience in DevOps / cloud infrastructure.

- Working knowledge of Terraform and Kubernetes (GKE).

- Comfortable with Docker and container basics.

- Hands-on with at least one CI/CD tool : Cloud Build, GitHub Actions, GitLab CI, or Bitbucket.

- Familiarity with core GCP services : Compute, VPC/networking, IAM, and Cloud Storage.

- Basic cloud networking understanding (load balancers, firewalls, subnets).

- Exposure to monitoring tools (Cloud Monitoring/Logging, or Prometheus/Grafana).

- Familiarity with databases : Cloud SQL/MySQL, MongoDB, or Redis.

- Scripting in Bash or Python for automation.

Nice to Have :

- Exposure to a second cloud (Azure or AWS).

- Familiarity with data tools like BigQuery, Dataflow, or Composer.

- Experience with Prometheus, Grafana, or the ELK stack.

- Awareness of cost optimization / FinOps basics.

- Any GCP associate-level certification (e.g., Associate Cloud Engineer).