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.
- Robust 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

📌 Senior DevOps Engineer (India)
🏢 kooe private
📍 India