Description
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
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