Description

Experience  in DevOps, DevSecOps, Cloud Engineering, Site Reliability Engineering, or Platform Engineering
 
experience supporting AI/ML, GenAI, Agentic AI, AgentOps, LLMOps, or MLOps platforms.Experience working within Agile, DevOps, and Platform Engineering environment
 
DevSecOps/DevOps Engineer to design, implement, secure, automate, and operate enterprise-scale Generative AI (GenAI), Agentic AI, and Agentic Coding platforms.
 
Exp  on building secure, scalable, resilient, and cloud-native AI ecosystems that support Large Language Models (LLMs)
 
The ideal candidate will possess deep expertise in DevSecOps/DevOps, cloud platforms, Kubernetes, Infrastructure as Code (IaC), AI/ML operations, AI security, threat modeling, autonomous agents, and AI-driven software engineering.
 
Develop and manage CI/CD pipelines for AI applications, AI agents, LLM deployments, and cloud-native services.
 
Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).Manage containerized workloads using Docker, Kubernetes, OpenShift, and Helm.
 
Technical Skills Required
Cloud Platforms : Microsoft Azure,  Amazon Web Services (AWS)Google Cloud Platform (GCP)DevSecOps : Automation GitHub Actions GitLab CI/CD Jenkins Terraform  Ansible Python Infrastructure as Code (IaC) GitOps Containerization Orchestration Kubernetes Docker OpenShift HelmAI, GenAI

Key Skills

Education

Bachelor's degree