DevOps Intern

Role Overview

We are looking for a DevOps Intern with hands-on exposure to cloud-native infrastructure. The role involves working on Kubernetes platforms, CI/CD pipelines, traffic routing systems, and observability across multi-cloud environments. The candidate should be comfortable learning and troubleshooting real-world workloads end-to-end.

Key Responsibilities

• Assist in deploying and operating Kubernetes clusters (EKS, GKE, or AKS).
  
• Manage traffic routing and ingress systems for Kubernetes workloads.
  
• Exposure with managing Karpenter for Kubernetes node provisioning and autoscaling.
  
• Assist in ensuring reliability, scalability, and performance of production systems.
  
• Build and maintain monitoring and logging stacks.
  
• Implement and maintain CI/CD pipelines and GitOps workflows.
  
• Automate operational tasks and reduce manual toil.
  
• Assist in troubleshooting issues across networking, containers, and cloud services.
  
• Collaborate closely with application and security teams.
  

Key Requirements

• Strong understanding of Kubernetes fundamentals and architecture (control plane, CNI, CSI, upgrades).
  
• Exposure to managed Kubernetes services (EKS, GKE, AKS).
  
• Experience with traffic routing systems such as:
  
  • NGINX Ingress / NGINX Gateway
    
  • Kubernetes Gateway API (Gateway, HTTPRoute)
    
• Experience with observability tools:
  
  • Prometheus, Grafana, Loki (or equivalents)
    
• Basic hands-on experience with Karpenter for Kubernetes node provisioning and autoscaling, including NodePools and EC2NodeClass.
  
• Basic understanding of Kubernetes troubleshooting and workload scaling.
  

Essential Skills

• Strong CI/CD fundamentals; experience with Jenkins or GitLab CI.
  
• GitOps experience (ArgoCD preferred).
  
• Understanding of ingress, routing rules, TLS, and traffic strategies (blue/green, canary).
  
• Experience with configuration and secrets management (Vault, Sealed Secrets, External Secrets).
  
• Basic knowledge of scaling, performance tuning, and load benchmarking.
  
• Working knowledge of AWS, GCP, and Azure (VPC, IAM, cost awareness).
  
• Scripting skills in Bash, Python, or Go.
  
• Basic understanding of Karpenter and Kubernetes node autoscaling.
  

Nice-to-Haves

• Infrastructure as Code experience (Terraform, Ansible).
  
• Linux system administration skills.
  
• Container and network security exposure.
  
• Exposure to multi-region or multi-cluster Kubernetes setups.
  
• Familiarity with SRE practices and incident response.
  
• Familiarity with advanced Karpenter concepts and configurations.