DevOps Engineer

Location: Remote

Experience: 3-6 years

Shift timing: 6 PM to 3 AM IST

About the role:

We are seeking an experienced AWS DevOps Engineer with strong expertise in AWS cloud infrastructure,

Kubernetes (Amazon EKS), and Infrastructure as Code (Terraform/Terragrunt). The ideal candidate will play a key role in designing, deploying, and managing scalable, secure, and highly available cloud environments while building robust CI/CD pipelines and automating infrastructure.

Responsibilities

• Design, deploy, and manage production-grade AWS infrastructure.

• Provision and manage infrastructure in AWS Control Tower and AWS Organizations multi-account

environments.

• Create, upgrade, and maintain Amazon EKS clusters.

• Provision infrastructure using Terraform and Terragrunt.

• Build and maintain CI/CD pipelines for automated deployments.

• Deploy and manage applications using Helm.

• Configure Kubernetes autoscaling using Karpenter and Horizontal/Vertical Pod Autoscalers.

• Manage AWS networking components, including ALB/NLB, VPC, Transit Gateway, NAT Gateway, Route

53, and Route 53 Resolver.

• Implement monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and the

EFK Stack.

• Ensure infrastructure security, scalability, availability, governance, and cost optimization.

• Troubleshoot production issues and perform root cause analysis.

• Collaborate with development, QA, security, and AI/ML teams to support cloud-native applications.

Required Skills

• AWS: Strong experience with EKS, EC2, VPC, IAM, Route 53, ALB/NLB, Auto Scaling, CloudWatch,

networking, and working within AWS Control Tower and AWS Organizations multi-account

environments.

• AWS Governance: Experience with account provisioning, cross-account IAM roles, Service Control

Policies (SCPs), centralized networking, and landing zone best practices.

• Kubernetes: Cluster administration, networking, RBAC, Ingress, storage, troubleshooting, and upgrades.

• Infrastructure as Code: Terraform and Terragrunt.

• Containers: Docker and Kubernetes.

• Kubernetes Ecosystem: Helm, Karpenter, Metrics Server, AWS Load Balancer Controller, ExternalDNS,

and cert-manager.

• Monitoring & Logging: Prometheus, Grafana, and EFK Stack.

• CI/CD: Experience with Azure DevOps, AWS Code Commit, Code Deploy, Github Action, GitLab CI/CD,

Azure DevOps, or Jenkins.

• Linux & Scripting: Strong Linux administration and Bash scripting.

• MLOps (Preferred): Exposure to Kubeflow, MLflow, model deployment on Kubernetes, AWS

SageMaker, GPU workloads, or AI infrastructure.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• AWS certifications such as AWS Certified DevOps Engineer – Professional, AWS Certified Solutions

Architect – Professional, or AWS Certified Advanced Networking – Specialty.

• Experience with Kubernetes security, container image scanning, and secrets management tools.

• Working knowledge of service mesh technologies such as Istio

• Experience supporting AI/ML platforms, GPU-enabled Kubernetes clusters, and MLOps workflows.

• Strong understanding of cloud security, disaster recovery, backup strategies, and FinOps/cost

optimization best practices.

• Excellent troubleshooting, communication, documentation, and stakeholder management skills.

• Experience mentoring junior engineers and driving DevOps best practices across engineering teams.