Lead DevOps Engineer

As the Lead DevOps Engineer, you'll own our cloud infrastructure and CI/CD ecosystem end-to-end. You'll design scalable, secure, and automated cloud systems, mentor engineers, and collaborate closely with backend, data, and product teams to deliver resilient, high-performance environments.

Responsibilities:

• Design, implement, and maintain GCP-based cloud infrastructure (Compute Engine, Cloud Run, GKE, Pub/Sub, Cloud SQL, BigQuery, etc. ).
• Build and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, or Cloud Build.
• Automate infrastructure provisioning via Terraform / Helm / Ansible.
• Monitor, optimize, and secure cloud performance, cost, and availability.
• Implement DevSecOps best practices, including IAM policies, secret management, and vulnerability scanning.
• Set up observability stacks (Prometheus, Grafana, ELK, Stackdriver).
• Collaborate with engineering teams to design scalable, fault-tolerant architectures.
• Own incident management and on-call rotations, driving root-cause analysis and uptime improvement.
• Mentor and lead junior DevOps/SRE engineers, setting standards for automation and operational excellence.

Requirements:

• 6+ years of DevOps/SRE experience with 2+ years leading small teams or projects.
• Hands-on expertise with GCP services and Terraform / Infrastructure as Code (IaC).
• Strong command of Linux systems, Docker/Kubernetes, and CI/CD pipelines.
• Proficiency in scripting with Python / Bash / Go.
• Solid understanding of networking, security, and cloud cost optimization.
• Familiarity with monitoring, alerting, and logging tools (Grafana, Datadog, Stackdriver).
• Experience in fast-paced startup environments or scaling systems from MVP to production.

Nice-to-Have:

• GCP certification (Professional DevOps Engineer / Cloud Architect).
• Experience with multi-cloud or hybrid environments.
• Exposure to microservices, service mesh (Istio), or GitOps (ArgoCD, Flux).
• Background in data engineering or ML infrastructure is a plus.

Skills

devops, gcp, google cloud, sre, terraform