Devops Engineer

Betatest Solutions; United States; A distancia; USD 140.000 - 200.000; Jornada completa

Descripción de la vacante

BetaTest Solutions is seeking an experienced AWS DevOps Engineer to design, deploy, and manage scalable cloud environments. You will build robust CI/CD pipelines, automate infrastructure, and collaborate across development, QA, security, and AI/ML teams.

The role emphasizes AWS, Kubernetes (EKS), Terraform/Terragrunt, Helm, and cost-optimized, secure cloud architectures. Remote work is supported, with a focus on scalable operations and reliable deployments.

Formación

• Experience designing, deploying, and managing production-grade AWS infrastructure.
• Proficient with EKS, VPC, Route 53, ALB/NLB, and multi-account setups.
• Strong IaC skills with Terraform and Terragrunt.

Responsabilidades

• Design, deploy, and manage production-grade AWS infrastructure.
• Provision infrastructure in AWS Control Tower and multi-account environments.
• Create, upgrade, and maintain Amazon EKS clusters.

Conocimientos

AWS

Kubernetes

Terraform

Terragrunt

CI/CD

Linux Bash

Prometheus

Grafana

Helm

Networking

Educación

Bachelor's degree

Herramientas

Karpenter

EFK stack

AWS Control Tower

AWS Organizations

Descripción del empleo

Location: Remote

Experience: 4-7 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.