Urgent Hirng For GCP Devps Engineer GCP, GKE, harness or istio mesh

Intellics Global Services; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Intellics Global Services seeks a skilled ML infra engineer to design and operate scalable CI/CD pipelines and cloud infrastructure in a globally distributed setup.

The role requires hands-on experience with GCP, GKE, Terraform, Helm, and Kubernetes, plus familiarity with Istio or similar service mesh and Harness for model build pipelines.

Qualifications

• Strong experience with CI/CD pipelines in distributed environments.
• Hands-on with Git, Artifactory, Jenkins, Docker registry.
• Proficient in managing GCP IAM for secure cloud access.
• Kubernetes deployment using Helm charts and Istio/service mesh knowledge.
• Experience with Terraform Enterprise and reusable modules.
• In-depth knowledge of core GCP services and integration with cloud architectures.
• Ability to deploy and troubleshoot microservices in distributed setups.

Skills

CI/CD pipelines

Git

Artifactory

Jenkins

Docker

Kubernetes

GKE

Terraform

Helm

Istio

GCP IAM

GCP services

Harness

Service mesh

Microservices

Tools

Terraform Enterprise

Terraform modules

Job 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
• MUST HAVE GCP, GKE, harness or istio mesh