Description

You will own the design, implementation, and maintenance of scalable cloud infrastructure supporting AI/ML model training and deployment.

This role is on-site.

Responsibilities

• Automate provisioning, deployment, monitoring, and management of infrastructure and services.
• Build and maintain CI/CD pipelines for software and machine learning models (MLOps).
• Implement Infrastructure-as-Code using tools like Terraform, Ansible, or CloudFormation.
• Ensure system reliability through monitoring, logging, alerting, and incident response.
• Manage containerization and orchestration using Docker and Kubernetes while enforcing security best practices.

Required Skills

• 3+ years of experience in DevOps or Cloud Engineering.
• Proficiency in scripting languages including Python, Bash, and Shell.
• Hands-on experience with AWS, GCP, or Azure.
• Strong knowledge of Docker, Kubernetes, and Helm.
• Experience with CI/CD tools such as Jenkins or GitHub Actions.
• Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).
• Advanced Linux administration and troubleshooting skills.
• Understanding of networking, security best practices, and system architecture.

Key Skills

Education

Any Gradute