DevOps Engineer (AL-FNC260724 007/01)
Core
Design, build, and maintain scalable AI platforms supporting enterprise AI, Machine Learning, and Generative AI initiatives.
Role type
DevOps Engineer (AI Platform & MLOps)
Builds
Secure, scalable, and highly available AI platforms
Domain
Cloud Engineering, DevOps, Platform Engineering, MLOps
Deliverable
production ML models
Required skills
Terraform, Infrastructure-as-Code (IaC), CI/CD pipelines, Docker, Kubernetes, Azure, AWS, Python/PowerShell/Bash scripting, Git
Preferred skills
Kubernetes Administration, GitHub Actions/GitLab CI/Jenkins, MLOps, Infrastructure Automation, Cloud Security & DevSecOps, Generative AI Platform Deployment
Technologies
Terraform, Azure, AWS, Docker, Kubernetes, Azure DevOps, GitHub Actions, GitLab CI, Jenkins, Prometheus, Grafana, Datadog, Splunk, Azure Monitor
Responsibilities
Design and manage cloud infrastructure using IaC; Build and maintain AI platform environments across Azure and AWS; Develop and optimize CI/CD pipelines; Automate deployments using DevOps and GitOps; Support AI/ML and Generative AI workloads including deployment and monitoring; Manage containerized environments; Implement monitoring, logging, observability, security, and governance; Support MLOps capabilities; Troubleshoot infrastructure and platform issues.
Seniority
Mid-level, hands-on IC
