DevOps Engineer

Title - Devops EngineerLocation - 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 ResponsibilitiesDevSecOps & Platform EngineeringDesign and maintain secure, scalable GenAI and Agentic AI platformsBuild and manage CI/CD pipelines for AI applications and LLM deploymentsAutomate infrastructure using IaC (Terraform, Ansible)Manage containerized workloads (Docker, Kubernetes, OpenShift, Helm)Establish best practices, reusable frameworks, and automation standardsAgentic AI & Platform EngineeringDevelop and manage AI agent frameworks and autonomous workflowsBuild multi-agent architectures for enterprise use casesIntegrate AI agents with APIs, cloud platforms, enterprise systems, and toolsOptimize performance, scalability, and cost efficiencyAgentic Coding & AI EngineeringImplement AI-driven coding platforms (Devin AI, Copilot, Codex, Claude Code)Enable AI-assisted code generation, testing, debugging, and automationIntegrate AI coding into DevSecOps and CI/CD pipelinesEnsure validation, security scanning, and policy enforcement for AI-generated codeAI Security & Risk ManagementPerform threat modeling for AI systems and platformsImplement secure-by-design AI architectureMitigate risks such as:Prompt Injection / Data LeakageModel & Retrieval PoisoningAgent misuse & privilege escalationSupply chain attacks & adversarial AI threatsApply MITRE ATLAS & MITRE ATT&CK frameworksRequired QualificationsEducationBachelor’s degree in Computer Science, IT, Engineering, Cybersecurity, or related fieldMaster’s degree preferredExperience5+ years in DevOps / DevSecOps / Cloud / SRE3+ years in AI/ML, GenAI, LLMOps, Agentic AI, or MLOpsExperience working in Agile & DevOps environmentsTechnical SkillsCloud PlatformsAWS, Azure, GCPDevSecOps & AutomationGitHub Actions, GitLab CI/CD, JenkinsTerraform, Ansible, PythonIaC, GitOpsContainerization & OrchestrationKubernetes, Docker, OpenShift, HelmAI / GenAI / Agentic AIAzure OpenAI, OpenAI APIs, Claude, LlamaLangChain, LangGraphOpenAI Agents SDK, MCPAI orchestration frameworksRAG and vector-based architecturesAgentic Coding / AI DevelopmentDevin AI, Cursor AIGitHub Copilot EnterpriseOpenAI Codex, Claude CodeAI code review, testing, and refactoringDatabases & IntegrationsSQL Server, PostgreSQL, MySQLREST APIs, Jira, GitHubKey StrengthsStrong expertise in DevSecOps + GenAI ecosystemDeep understanding of AI security and threat modelingHands-on with Kubernetes, CI/CD, and cloud-native architectureExperience building scalable AI platforms and automation frameworks, Florida, United StatesPosition SummaryWe 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 ResponsibilitiesDevSecOps & Platform EngineeringDesign and maintain secure, scalable GenAI and Agentic AI platformsBuild and manage CI/CD pipelines for AI applications and LLM deploymentsAutomate infrastructure using IaC (Terraform, Ansible)Manage containerized workloads (Docker, Kubernetes, OpenShift, Helm)Establish best practices, reusable frameworks, and automation standardsAgentic AI & Platform EngineeringDevelop and manage AI agent frameworks and autonomous workflowsBuild multi-agent architectures for enterprise use casesIntegrate AI agents with APIs, cloud platforms, enterprise systems, and toolsOptimize performance, scalability, and cost efficiencyAgentic Coding & AI EngineeringImplement AI-driven coding platforms (Devin AI, Copilot, Codex, Claude Code)Enable AI-assisted code generation, testing, debugging, and automationIntegrate AI coding into DevSecOps and CI/CD pipelinesEnsure validation, security scanning, and policy enforcement for AI-generated codeAI Security & Risk ManagementPerform threat modeling for AI systems and platformsImplement secure-by-design AI architectureMitigate risks such as:Prompt Injection / Data LeakageModel & Retrieval PoisoningAgent misuse & privilege escalationSupply chain attacks & adversarial AI threatsApply MITRE ATLAS & MITRE ATT&CK frameworksRequired QualificationsEducationBachelor’s degree in Computer Science, IT, Engineering, Cybersecurity, or related fieldMaster’s degree preferredExperience5+ years in DevOps / DevSecOps / Cloud / SRE3+ years in AI/ML, GenAI, LLMOps, Agentic AI, or MLOpsExperience working in Agile & DevOps environmentsTechnical SkillsCloud PlatformsAWS, Azure, GCPDevSecOps & AutomationGitHub Actions, GitLab CI/CD, JenkinsTerraform, Ansible, PythonIaC, GitOpsContainerization & OrchestrationKubernetes, Docker, OpenShift, HelmAI / GenAI / Agentic AIAzure OpenAI, OpenAI APIs, Claude, LlamaLangChain, LangGraphOpenAI Agents SDK, MCPAI orchestration frameworksRAG and vector-based architecturesAgentic Coding / AI DevelopmentDevin AI, Cursor AIGitHub Copilot EnterpriseOpenAI Codex, Claude CodeAI code review, testing, and refactoringDatabases & IntegrationsSQL Server, PostgreSQL, MySQLREST APIs, Jira, GitHubKey StrengthsStrong expertise in DevSecOps + GenAI ecosystemDeep understanding of AI security and threat modelingHands-on with Kubernetes, CI/CD, and cloud-native architectureExperience building scalable AI platforms and automation frameworksCompensation and BenefitsA 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.DisclaimerHCL 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 secure@hcltech.com for investigation.