DevSecOps / DevOps Engineer(W2)

Job Title: Senior DevSecOps / DevOps Engineer – AI, GenAI & Cloud PlatformsLocation: Phoenix, AZ - HybridJob SummaryWe are seeking an experienced Senior DevSecOps/DevOps Engineer to design, implement, automate, secure, and operate enterprise-scale Generative AI (GenAI), Agentic AI, LLMOps, MLOps, and cloud-native AI platforms. The ideal candidate will have strong experience in DevSecOps, Cloud Engineering, Site Reliability Engineering (SRE), or Platform Engineering, with hands-on expertise in building secure, scalable, and resilient AI ecosystems supporting Large Language Models (LLMs), AI Agents, and AI-driven software engineering.The successful candidate will be responsible for developing cloud-native infrastructure, implementing Infrastructure as Code (IaC), automating CI/CD pipelines, managing Kubernetes platforms, and ensuring security, reliability, and operational excellence across AI/ML environments.Key ResponsibilitiesDesign, implement, and manage enterprise DevSecOps platforms supporting AI, GenAI, Agentic AI, and LLM workloads.Build secure, scalable, highly available cloud-native AI platforms across Azure, AWS, and GCP.Develop and maintain CI/CD pipelines for AI applications, LLM deployments, autonomous agents, and cloud-native services.Automate infrastructure provisioning using Infrastructure as Code (Terraform, Ansible).Implement GitOps workflows and DevSecOps best practices.Deploy and manage containerized applications using Docker, Kubernetes, OpenShift, and Helm.Support MLOps, LLMOps, AgentOps, and AI platform operations.Integrate security controls throughout the SDLC and CI/CD pipelines.Implement AI security controls, threat modeling, vulnerability management, and compliance automation.Monitor platform health, reliability, scalability, and performance.Collaborate with AI/ML engineers, software developers, cloud architects, and security teams.Build automated deployment, rollback, monitoring, logging, and alerting solutions.Troubleshoot production incidents and perform root cause analysis.Support Agile, DevOps, Platform Engineering, and SRE practices.Required Skills8+ years of DevOps, DevSecOps, Cloud Engineering, SRE, or Platform Engineering experience.Strong experience supporting AI/ML, GenAI, LLMOps, MLOps, or AgentOps platforms.Experience with Large Language Models (LLMs).Microsoft AzureAWSGoogle Cloud Platform (GCP)KubernetesDockerOpenShift