Role: Devsecops Engineer
Location: Phoenix,AZ (Onsite)
Contract
Job 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 (Google Cloud Platform)DevSecOps : Automation GitHub Actions GitLab CI/CD Jenkins Terraform Ansible Python Infrastructure as Code (IaC) GitOps Containerization Orchestration Kubernetes Docker OpenShift HelmAI, GenAI