Senior DevOps Engineer

Job Title: Senior DevOps Engineer (AWS | GitLab CI/CD)

Experience: 8+ Years

Location: Remote

Employment Type: Contract

Role Summary

We are looking for a Senior DevOps Engineer with 8+ years of experience to lead CI/CD automation, cloud infrastructure management, and deployment strategies for AI platform initiatives. The ideal candidate will have deep expertise in GitLab CI/CD, AWS, Terraform, Docker, Kubernetes, Bash, and Python, with the ability to architect scalable, secure, and highly available cloud environments.

Key Responsibilities

• Design, implement, and optimize enterprise-grade CI/CD pipelines using GitLab CI.
• Architect and automate AWS infrastructure using Terraform and Infrastructure as Code (IaC).
• Manage cloud services including AWS EKS, VPC, S3, IAM, Networking, and Security.
• Deploy, manage, and optimize containerized applications using Docker and Kubernetes.
• Develop automation scripts using Python and Bash.
• Lead infrastructure improvements, deployment automation, and platform reliability initiatives.
• Troubleshoot complex infrastructure, deployment, and production issues.
• Collaborate with AI, engineering, and platform teams to deliver scalable cloud solutions.
• Implement DevOps best practices for monitoring, security, scalability, and disaster recovery.
• Mentor engineers, conduct code reviews, and drive automation and operational excellence.
  
  

Required Skills & Experience

• 8+ years of hands-on DevOps and Cloud Infrastructure experience.
• Strong expertise in GitLab CI/CD and deployment automation.
• Extensive experience with AWS (EKS, S3, VPC, IAM, EC2, Networking).
• Hands-on experience with Terraform and Infrastructure as Code.
• Strong knowledge of Docker and Kubernetes.
• Proficiency in Python and Bash scripting.
• Experience designing highly available and scalable cloud architectures.
• Strong understanding of Linux systems, networking, security, and cloud infrastructure.
• Excellent troubleshooting, analytical, and leadership skills.
  
  

Preferred Skills

• Experience supporting AI/ML platforms or MLOps environments.
• Knowledge of Helm, ArgoCD, GitOps, or Kubernetes Operators.
• Experience with monitoring tools such as Prometheus, Grafana, or CloudWatch.
• AWS Solutions Architect, DevOps Engineer, or Kubernetes certifications.
  
  

Key Competencies

• AWS
• GitLab CI/CD
• Terraform
• Kubernetes
• Docker
• Python
• Bash
• DevOps
• Infrastructure as Code
• Cloud Architecture
• CI/CD Automation
• Linux
• MLOps
• Platform Engineering
  
  

Skills: ci,gitlab,cd,cloud,devops,aws,infrastructure