Urgent Hirng For GCP Devps Engineer GCP, GKE, harness or istio mesh
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- Strong understanding of CI/CD pipelines in a globally distributed environment using Git, Artifactory, Jenkins, and Docker registry.
- Experience working with GCP IAM to manage roles, permissions, and secure access to cloud resources.
- Hands-on knowledge of Helm charts for packaging and deploying applications in Kubernetes.
- Hands-on experience deploying and managing Kubernetes infrastructure using Terraform Enterprise, including the ability to write reusable Terraform modules.
- Experience implementing infrastructure as code and orchestrating cloud infrastructure in scalable, automated ways.
- Knowledge of core GCP services and how they integrate within modern cloud architectures.
- Working knowledge of Istio or similar service mesh technologies.
- Experience deploying and troubleshooting microservices in distributed environments.
- Hands-on experience with Kubernetes and Docker for containerised ML workloads.
- Experience using Terraform and Helm to manage ML infrastructure and deployment pipelines.
- Experience designing and managing CI/CD pipelines using tools such as Harness for model build
- MUST HAVE GCP, GKE, harness or istio mesh
Full description
Required Skills and Experience
Strong understanding of CI/CD pipelines in a globally distributed environment using Git, Artifactory, Jenkins, and Docker registry.
Experience working with GCP IAM to manage roles, permissions, and secure access to cloud resources.
Hands-on knowledge of Helm charts for packaging and deploying applications in Kubernetes.
Hands-on experience deploying and managing Kubernetes infrastructure using Terraform Enterprise, including the ability to write reusable Terraform modules.
Experience implementing infrastructure as code and orchestrating cloud infrastructure in scalable, automated ways.
Knowledge of core GCP services and how they integrate within modern cloud architectures.
Working knowledge of Istio or similar service mesh technologies.
Experience deploying and troubleshooting microservices in distributed environments.
Hands-on experience with Kubernetes and Docker for containerised ML workloads.
Experience using Terraform and Helm to manage ML infrastructure and deployment pipelines.
Experience designing and managing CI/CD pipelines using tools such as Harness for model build