Job Overview:

We are looking for a skilled DevOps Engineer with 4+ years of experience in building, automating, and managing scalable infrastructure. The ideal candidate should have strong expertise in Kubernetes, scripting, and a basic understanding of AI/ML workflows.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for application deployment

• Work with containerization and orchestration tools, especially Kubernetes

• Automate infrastructure provisioning and configuration management

• Monitor system performance, reliability, and availability

• Collaborate with development and QA teams for seamless releases

• Troubleshoot and resolve infrastructure and deployment issues

• Support AI/ML model deployment and basic MLOps workflows

Required Skills:

• 4+ years of experience in DevOps or related roles

• Strong hands-on experience with Kubernetes

• Proficiency in scripting languages such as Python, Bash, or Shell

• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)

• Knowledge of cloud platforms (AWS / Azure / GCP)

• Experience with containerization tools like Docker

• Understanding of Infrastructure as Code (Terraform, CloudFormation, etc.)

Preferred Skills:

• Basic knowledge of AI/ML concepts and model deployment

• Familiarity with MLOps tools and workflows

• Experience with monitoring tools (Prometheus, Grafana, ELK stack)

• Knowledge of security best practices in DevOps