Position: GCP DevOps Engineer
Location: Issaquah, WA*Day 1 Onsite
Mandatory Areas
Must Have Skills GCP DevOps Engineer
Skill 1 5 + Years of exp in Google Cloud Platform
Skill 2 10 + Years of Exp in DevOps
Skill 3- 6+ Years In Experience with containerization (Docker) and orchestration (Kubernetes)
* Expertise in Google Cloud Platform (GCP), Terraform, Python scripting, and container platforms.
* The ideal candidate will have hands-on experience in multi-cloud environments, on-prem to cloud migration, and managing CI/CD pipelines across multiple applications.
* Strong communication skills and the ability to lead distributed teams are essential.
Key Responsibilities:
* Design, implement, and manage Infrastructure as Code (IaC) using Terraform across GCP and other cloud platforms.
* Lead on-prem to cloud migration initiatives, ensuring minimal disruption and optimal performance.
* Develop and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
* Automate infrastructure provisioning, configuration, and deployment using Python and other scripting languages.
* Manage container platforms (Docker, Kubernetes) for scalable application deployment.
* Implement and enforce IAM policies, security best practices, and compliance standards.
* Monitor system performance, troubleshoot issues, and optimize cloud resources.
* Collaborate with onsite and offshore teams to ensure seamless delivery across time zones.
* Support multiple applications in a multi-cloud environment (GCP, AWS, Azure).
* Troubleshoot firewall and networking issues by working closely with infrastructure, security, and networking teams.
* Integrate and support AI/ML workflows, including model deployment, data pipelines, and resource scaling.
* Document processes, configurations, and architectural decisions.
Required Skills & Qualifications:
* 5-10 years of experience in DevOps, Cloud Engineering, or Infrastructure Automation.
* Strong hands-on experience with Google Cloud Platform (GCP). Proficiency in Terraform for IaC and Python for automation.
* Experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of IAM, networking, and cloud security principles.
* Proven track record in CI/CD pipeline development and maintenance. Experience in multi-cloud environments and on-prem to cloud migration.
* Familiarity with monitoring tools (Prometheus, Grafana, ELK). Excellent communication and leadership skills.
* Experience working in Agile/Scrum environments.
* Exposure to AI/ML tools such as TensorFlow, PyTorch, Vertex AI, or Kubeflow.
* Preferred Tools & Technologies: Cloud Platforms: GCP, AWS, Azure IaC
* Automation: Terraform, Python, Ansible CI/CD: Jenkins, GitHub Actions, GitLab CI Containers: Docker, Kubernetes Monitoring & Logging: Prometheus, Grafana, ELK Stack Version Control: Git, Bitbucket Collaboration: Jira, Confluence, Slack, Microsoft Teams Shape Nice to Have: Certifications in GCP, Terraform, or Kubernetes.
* Experience with service mesh (Istio, Linkerd). Exposure to retail or enterprise-scale applicati