- Company Name
- Artmac
- Job Title
- Lead Devops Platform Engineer (AWS & GCP)
- Job Description
-
Job Title: Lead DevOps Platform Engineer (AWS & GCP)
Role Summary:
Architect, build, and maintain multi‑cloud DevOps platforms on AWS and GCP. Lead end‑to‑end CI/CD pipelines, Kubernetes operations, infrastructure automation, monitoring, security, and cost optimization.
Expectations:
* 7–15 years of professional DevOps experience with AWS and GCP.
* Proven expertise in Kubernetes cluster management, IaC tooling, and cloud‑native observability.
* Strong ability to integrate cross‑team collaboration and enforce security best practices.
Key Responsibilities:
1. Design, implement, and maintain CI/CD pipelines for application deployments on AWS and GCP.
2. Manage Kubernetes clusters: deployment, scaling, monitoring, troubleshooting, and upgrades.
3. Automate infrastructure provisioning using Terraform, CloudFormation, or GCP Deployment Manager.
4. Deploy comprehensive monitoring, logging, and alerting solutions for cloud and container environments.
5. Collaborate with development teams to optimize application performance and reliability.
6. Enforce security hardening for cloud resources, container images, and networking configurations.
7. Perform cost‑management analysis and optimize resource usage across multi‑cloud environments.
8. Lead disaster recovery planning, testing, and implementation for critical workloads.
Required Skills:
* AWS (EC2, ECS/EKS, S3, Lambda, CloudFormation) and GCP (Compute Engine, GKE, Cloud Deployment Manager) proficiency.
* Kubernetes administration (kubectl, Helm, Operators).
* Infrastructure as Code: Terraform, CloudFormation, Deployment Manager.
* CI/CD tools: Jenkins, GitHub Actions, GitLab CI, Argo CD.
* Observability: Prometheus, Grafana, ELK/EFK stack, CloudWatch, Stackdriver.
* Security: IAM, RBAC, image scanning, network policy, secret management.
* Cost‑optimization and budgeting in multi‑cloud scenarios.
* Disaster recovery strategy and execution.
* Strong scripting (Bash, Python) and automation mindset.
Required Education & Certifications:
* Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
* Relevant certifications (AWS Certified DevOps Engineer, GCP Professional Cloud DevOps Engineer, Certified Kubernetes Administrator) are highly desirable.