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 withKubernetes
Proficiency in scripting languages such asPython, 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

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