DevOps Engineer

Title - Devops Engineer Location - Phoenix, Arizona, We are seeking a highly skilled DevSecOps/DevOps Engineer to design, implement, secure, automate, and operate enterprise-scale Generative AI (GenAI), Agentic AI, and Agentic Coding platforms . The role focuses on building secure, scalable, resilient, and cloud-native AI ecosystems supporting LLMs, AI agents, autonomous workflows, RAG, and AI-driven software engineering . The ideal candidate will have strong expertise in DevSecOps, cloud platforms, Kubernetes, Infrastructure as Code (IaC), AI/ML operations, and AI security , with a focus on governance, compliance, observability, and platform reliability. Key Responsibilities DevSecOps & Platform Engineering Design and maintain secure, scalable GenAI and Agentic AI platforms Build and manage CI/CD pipelines for AI applications and LLM deployments Automate infrastructure using IaC (Terraform, Ansible) Manage containerized workloads (Docker, Kubernetes, OpenShift, Helm) Establish best practices, reusable frameworks, and automation standards Agentic AI & Platform Engineering Develop and manage AI agent frameworks and autonomous workflows Build multi-agent architectures for enterprise use cases Integrate AI agents with APIs, cloud platforms, enterprise systems, and tools Optimize performance, scalability, and cost efficiency Agentic Coding & AI Engineering Implement AI-driven coding platforms (Devin AI, Copilot, Codex, Claude Code) Enable AI-assisted code generation, testing, debugging, and automation Integrate AI coding into DevSecOps and CI/CD pipelines Ensure validation, security scanning, and policy enforcement for AI-generated code AI Security & Risk Management Perform threat modeling for AI systems and platforms Implement secure-by-design AI architecture Mitigate risks such as: Prompt Injection / Data Leakage Model & Retrieval Poisoning Agent misuse & privilege escalation Supply chain attacks & adversarial AI threats Apply MITRE ATLAS & MITRE ATT&CK frameworks Required Qualifications Education Bachelor’s degree in Computer Science, IT, Engineering, Cybersecurity, or related field Master’s degree preferred Experience 5+ years in DevOps / DevSecOps / Cloud / SRE 3+ years in AI/ML, GenAI, LLMOps, Agentic AI, or MLOps Experience working in Agile & DevOps environments Technical Skills Cloud Platforms AWS, Azure, GCP DevSecOps & Automation GitHub Actions, GitLab CI/CD, Jenkins Terraform, Ansible, Python IaC, GitOps Containerization & Orchestration Kubernetes, Docker, OpenShift, Helm AI / GenAI / Agentic AI Azure OpenAI, OpenAI APIs, Claude, Llama LangChain, LangGraph OpenAI Agents SDK, MCP AI orchestration frameworks RAG and vector-based architectures Agentic Coding / AI Development Devin AI, Cursor AI GitHub Copilot Enterprise OpenAI Codex, Claude Code AI code review, testing, and refactoring Databases & Integrations SQL Server, PostgreSQL, MySQL REST APIs, Jira, GitHub Key Strengths Strong expertise in DevSecOps + GenAI ecosystem Deep understanding of AI security and threat modeling Hands-on with Kubernetes, CI/CD, and cloud-native architecture Experience building scalable AI platforms and automation frameworks , Florida, United States Position Summary We are seeking a highly skilled DevSecOps/DevOps Engineer to design, implement, secure, automate, and operate enterprise-scale Generative AI (GenAI), Agentic AI, and Agentic Coding platforms . The role focuses on building secure, scalable, resilient, and cloud-native AI ecosystems supporting LLMs, AI agents, autonomous workflows, RAG, and AI-driven software engineering . The ideal candidate will have strong expertise in DevSecOps, cloud platforms, Kubernetes, Infrastructure as Code (IaC), AI/ML operations, and AI security , with a focus on governance, compliance, observability, and platform reliability. Key Responsibilities DevSecOps & Platform Engineering Design and maintain secure, scalable GenAI and Agentic AI platforms Build and manage CI/CD pipelines for AI applications and LLM deployments Automate infrastructure using IaC (Terraform, Ansible) Manage containerized workloads (Docker, Kubernetes, OpenShift, Helm) Establish best practices, reusable frameworks, and automation standards Agentic AI & Platform Engineering Develop and manage AI agent frameworks and autonomous workflows Build multi-agent architectures for enterprise use cases Integrate AI agents with APIs, cloud platforms, enterprise systems, and tools Optimize performance, scalability, and cost efficiency Agentic Coding & AI Engineering Implement AI-driven coding platforms (Devin AI, Copilot, Codex, Claude Code) Enable AI-assisted code generation, testing, debugging, and automation Integrate AI coding into DevSecOps and CI/CD pipelines Ensure validation, security scanning, and policy enforcement for AI-generated code AI Security & Risk Management Perform threat modeling for AI systems and platforms Implement secure-by-design AI architecture Mitigate risks such as: Prompt Injection / Data Leakage Model & Retrieval Poisoning Agent misuse & privilege escalation Supply chain attacks & adversarial AI threats Apply MITRE ATLAS & MITRE ATT&CK frameworks Required Qualifications Education Bachelor’s degree in Computer Science, IT, Engineering, Cybersecurity, or related field Master’s degree preferred Experience 5+ years in DevOps / DevSecOps / Cloud / SRE 3+ years in AI/ML, GenAI, LLMOps, Agentic AI, or MLOps Experience working in Agile & DevOps environments Technical Skills Cloud Platforms AWS, Azure, GCP DevSecOps & Automation GitHub Actions, GitLab CI/CD, Jenkins Terraform, Ansible, Python IaC, GitOps Containerization & Orchestration Kubernetes, Docker, OpenShift, Helm AI / GenAI / Agentic AI Azure OpenAI, OpenAI APIs, Claude, Llama LangChain, LangGraph OpenAI Agents SDK, MCP AI orchestration frameworks RAG and vector-based architectures Agentic Coding / AI Development Devin AI, Cursor AI GitHub Copilot Enterprise OpenAI Codex, Claude Code AI code review, testing, and refactoring Databases & Integrations SQL Server, PostgreSQL, MySQL REST APIs, Jira, GitHub Key Strengths Strong expertise in DevSecOps + GenAI ecosystem Deep understanding of AI security and threat modeling Hands-on with Kubernetes, CI/CD, and cloud-native architecture Experience building scalable AI platforms and automation frameworks Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [email protected] for investigation.