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:
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Design, implement, and manage CI/CD pipelines for application deployment
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Work with containerization and orchestration tools, especially Kubernetes
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Automate infrastructure provisioning and configuration management
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Monitor system performance, reliability, and availability
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Collaborate with development and QA teams for seamless releases
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Troubleshoot and resolve infrastructure and deployment issues
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Support AI/ML model deployment and basic MLOps workflows
Required Skills:
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4+ years of experience in DevOps or related roles
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Strong hands-on experience with Kubernetes
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Proficiency in scripting languages such as Python, Bash, or Shell
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Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
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Knowledge of cloud platforms (AWS / Azure / GCP)
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Experience with containerization tools like Docker
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Understanding of Infrastructure as Code (Terraform, CloudFormation, etc.)
Preferred Skills:
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Basic knowledge of AI/ML concepts and model deployment
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Familiarity with MLOps tools and workflows
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Experience with monitoring tools (Prometheus, Grafana, ELK stack)