Key Skills Required:
- Strong experience in DevOps / Platform Engineering / Cloud Engineering / SRE
- Hands-on expertise in:
- Kubernetes (GKE and/or EKS)
- GCP Platform Engineering
- AWS EKS environments
- ArgoCD and GitOps deployments
- Experience with:
- Crossplane / GCP Config Connector
- CI/CD tools (GitHub Actions Jenkins etc.)
- Terraform (primarily for AWS EKS provisioning)
- Good understanding of:
- Cloud networking (DNS ingress load balancing)
- IAM security baselines and governance
- Monitoring tools like Prometheus Grafana and GCP Cloud Monitoring
- Exposure to AI/ML infrastructure and large-scale data pipelines is a plus
Roles & Responsibilities:
- Design and automate GCP landing zones using GKE and data services
- Manage cloud infrastructure through Kubernetes-native IaC tools
- Implement GitOps-based deployment strategies using ArgoCD
- Support AI/ML workloads and optimize infrastructure performance
- Enhance observability reliability and cloud security across AWS and GCP
- Collaborate with DevOps platform and engineering teams for scalable cloud delivery
Educational Qualification:
- Bachelors Degree in Computer Science or IT-related field
Key Skills Required: Strong experience in DevOps / Platform Engineering / Cloud Engineering / SRE Hands-on expertise in: Kubernetes (GKE and/or EKS) GCP Platform Engineering AWS EKS environments ArgoCD and GitOps deployments Experience with: Crossplane / GCP Config Connector CI/CD tools (GitHub...
Key Skills Required:
- Strong experience in DevOps / Platform Engineering / Cloud Engineering / SRE
- Hands-on expertise in:
- Kubernetes (GKE and/or EKS)
- GCP Platform Engineering
- AWS EKS environments
- ArgoCD and GitOps deployments
- Experience with:
- Crossplane / GCP Config Connector
- CI/CD tools (GitHub Actions Jenkins etc.)
- Terraform (primarily for AWS EKS provisioning)
- Good understanding of:
- Cloud networking (DNS ingress load balancing)
- IAM security baselines and governance
- Monitoring tools like Prometheus Grafana and GCP Cloud Monitoring
- Exposure to AI/ML infrastructure and large-scale data pipelines is a plus
Roles & Responsibilities:
- Design and automate GCP landing zones using GKE and data services
- Manage cloud infrastructure through Kubernetes-native IaC tools
- Implement GitOps-based deployment strategies using ArgoCD
- Support AI/ML workloads and optimize infrastructure performance
- Enhance observability reliability and cloud security across AWS and GCP
- Collaborate with DevOps platform and engineering teams for scalable cloud delivery
Educational Qualification:
- Bachelors Degree in Computer Science or IT-related field
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