Description

You will design, secure, and automate enterprise-scale Generative AI and Agentic AI platforms.

This role is on-site.

Responsibilities

• Build and maintain CI/CD pipelines for AI applications, LLM deployments, and cloud-native services.
• Automate infrastructure provisioning and configuration management using Infrastructure as Code.
• Manage containerized workloads using Docker, Kubernetes, OpenShift, and Helm.
• Implement DevSecOps practices including threat modeling and AI security controls.
• Operate resilient, scalable AI ecosystems supporting AgentOps and LLMOps.

Required Skills

• 5+ years of experience in DevOps, DevSecOps, or Platform Engineering.
• Deep expertise in Kubernetes, Helm, Docker, and OpenShift.
• Proficiency with CI/CD tools: GitHub Actions, GitLab CI/CD, or Jenkins.
• Strong Infrastructure as Code skills using Terraform and Ansible.
• Experience with cloud platforms: Azure, AWS, or GCP.
• Scripting proficiency in Python.
• Familiarity with Agile methodologies and AI/ML operations (LLMOps, MLOps).

Preferred Skills

• Experience with GenAI, Agentic AI, or autonomous agent frameworks.
• Background in Site Reliability Engineering (SRE) for AI workloads.

Bachelor's degree required. 3-year tenure expectation.

Key Skills

Education

Bachelor's degree