DevOps Engineer

Responsibilities

• Develop CI/CD pipelines that automate building, testing, and deploying of AI powered applications
• Maintain and monitor cloud infrastructure, ensuring performance, availability, and cost-efficiency
• Manage infrastructure-as-code and configuration management across environments
• Collaborate with MLOps and engineering teams to design, automate, and monitor model-deployment pipelines
• Implement logging, alerting, and observability tools to ensure system reliability and rapid incident resolution
• Apply security best practices and ensure compliance with internal IT and regulatory policies

Qualifications

• 5-8 years of experience in DevOps or infrastructure engineering, ideally supporting ML or data platforms
• Strong experience with CI/CD tools (e.g., GitLab CI, Jenkins, ArgoCD) and cloud platforms (e.g., Azure, AWS, GCP)
• Proficiency in infrastructure-as-code tools (e.g., Terraform, Pulumi) and scripting (e.g., Bash, Python)
• Expertise in containerization and orchestration (e.g., Docker, Kubernetes)
• Knowledge of system monitoring, logging, and incident response workflows
• Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required