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 secure@hcltech.com for investigation.