DevOps Engineer (Data Innovation)

Responsibilities

• Define the vision, standards, and roadmap for the organization's DevOps platform, CI/CD practices, cloud operations, and service reliability.
• Develop and review Python applications, REST APIs, and data pipelines running on GKE, Airflow, or other appropriate managed services.
• Design and maintain GitLab CI/CD pipelines, covering build, test, security scanning, image registry management, deployment, rollback, and environment management.
• Manage and support GCP/AWS SaaS platforms and cloud resources, including Pub/Sub, GKE, Cloud Run, Cloud Storage, IAM, managed databases, and equivalent services.
• Design and implement deployment patterns on GKE/Cloud Run, including container images, configuration management, secrets handling, autoscaling, resource allocation, and high availability.
• Configure monitoring, logging, dashboards, alerting, and operational runbooks to ensure timely detection and response to incidents.
• Lead incident management, problem management, and post-incident reviews, driving corrective and preventive actions to avoid recurrence.
• Collaborate with Security teams to establish standards for access control, secret management, vulnerability remediation, audit logging, and compliance.
• Manage capacity planning, performance optimization, and cloud cost governance, while recommending measurable improvements and cost-saving initiatives
• Lead and mentor DevOps / Platform Engineers, including workload planning, skill development, design reviews, code reviews, and cross-functional coordination.
• Produce and maintain architecture documentation, operational runbooks, deployment guides, and handover documentation to support efficient operations.

Qualifications

Experience

• 3-4 years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, Platform Engineering
• Hands-on experience supporting and maintaining production workloads.

Cloud & Container

• GCP, Google Cloud, GKE, Kubernetes, k8s
• Docker, Container, Artifact Registry
• Cloud Run, Cloud Run Job
• IAM, Service Account, Workload Identity

CI/CD & GitOps

• GitLab CI, GitLab CI/CD, .gitlab-ci.yml, GitLab Runner
• Self-hosted GitLab / GitLab on-premise
• GitOps, ArgoCD
• Multi-environment (dev/qa/uat/prod), branch strategy, promotion, rollback

Infrastructure as Code

• Terraform, IaC
• Helm, Kustomize

Scripting

• Bash, Shell script, Python

Observability & SRE

• Cloud Monitoring, Cloud Logging, log-based alert
• SRE, SLO/SLI, on-call, incident response, runbook
• Troubleshooting: OOMKilled, PersistentVolume, CrashLoopBackOff