DevOps Engineer

• Design, build, and maintain cloud-native infrastructure supporting AI workloads
• Manage AI platform environments across development, test, UAT, and production
• Implement Infrastructure as Code using Terraform and Bicep
• Optimize infrastructure performance, costs, resilience, and availability
• Build and maintain CI/CD pipelines for AI and machine learning solutions
• Automate model deployment, validation, testing, and rollback processes
• Support model lifecycle management, versioning, monitoring, and governance
• Enable automated retraining and deployment workflows where required
• Implement security best practices across AI environments
• Manage identities, secrets, certificates, and access controls
• Ensure compliance with organizational security and governance standards
• Conduct vulnerability remediation and platform hardening activities
• Establish monitoring, alerting, logging, and observability frameworks
• Troubleshoot production incidents and perform root-cause analysis
• Define and monitor platform SLAs, SLOs, and operational metrics
• Drive continuous improvement of platform stability and performance
• Partner with AI Engineers and Solution Architects to operationalize AI solutions
• Support production releases and deployment readiness reviews
• Contribute to platform standards, reusable templates, and automation frameworks
• Mentor development teams on DevOps and AI operational best practices

Explore DevOps Engineer – AI at IFS. Review requirements and application details.