DevOps & CI/CD Engineer for Secure AI Delivery

Quantum Research International Inc; Huntsville (AL); On-site; USD 110,000 - 170,000; Full time

Job summary

Quantum Research International, Inc. seeks an Intermediate DevOps/CI-CD Engineer to support secure Retrieval-Augmented Generation (RAG) applications using large language models.

The role focuses on building reliable delivery pipelines, automating deployment, and maintaining infrastructure for AI-enabled services in secure, often air‑gapped environments. The position requires strong software engineering fundamentals, hands-on CI/CD expertise, and collaboration with software developers, AI/ML

Qualifications

• Active Top Secret clearance preferred or the ability to obtain TS/SCI.
• 3+ years of professional experience in software development, DevOps, systems engineering, or related technical field.
• Hands-on experience designing or maintaining CI/CD pipelines using GitLab CI/CD, GitHub Actions, Azure DevOps, Jenkins.
• Experience with source-control workflows, branching strategies, pull/merge requests, release management, and automated quality gates.
• Experience deploying and supporting containerized applications using Docker or a comparable container platform.
• Proficiency in Python, PowerShell, Bash, or Go.
• Working knowledge of .NET/C#, Go, or Python development.
• Experience supporting RESTful APIs, microservices, distributed applications, or backend services.
• Familiarity with Terraform, Ansible, Helm, or similar IaC/configuration-management tools.
• Understanding of Linux environments, networking fundamentals, certificates, secrets management, and configuration.
• Experience integrating automated testing and security scanning into delivery pipelines.
• Ability to diagnose build failures and deployment issues across the delivery lifecycle.
• Understanding of secure software development and supply-chain practices.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for application services, RAG components, AI models, and supporting infrastructure.
• Automate software builds, testing, security scanning, packaging, deployment, rollback, and release management.
• Support deployment and operation of .NET/C#, Go, and Python services across development, test, and production environments.
• Build and maintain containerized application environments using Docker, Kubernetes, or comparable platforms.
• Develop infrastructure-as-code and configuration-management solutions to create repeatable, auditable environments.
• Manage build artifacts, container images, application dependencies, secrets, and environment-specific configuration.
• Integrate automated unit, integration, performance, and security testing into delivery pipelines.
• Implement monitoring, logging, alerting, and operational dashboards for AI-assisted applications and their supporting services.
• Troubleshoot build, deployment, infrastructure, networking, performance, and availability issues across the delivery lifecycle.
• Improve system reliability, scalability, recoverability, and deployment consistency.
• Support the secure delivery of locally hosted or self-hosted LLMs, embedding models, vector databases, and RAG services.
• Collaborate with software developers, AI/ML engineers, cybersecurity personnel, system administrators, and government stakeholders.
• Produce and maintain technical documentation, deployment procedures, runbooks, and system configuration records.
• Participate in code reviews, release planning, and Agile development activities.
• Ensure delivery processes and environments comply with government security and configuration-management requirements.

Skills

Security clearance

CI/CD

Python

PowerShell

Bash

Go

C#

REST APIs

Linux

Agile / SDLC

Cross-functional collaboration

Education

BS degree in software engineering or Computer Science

Tools

GitLab CI/CD

GitHub Actions

Azure DevOps

Jenkins

Docker

Kubernetes

Terraform

Ansible

Helm

Job description

Quantum Research International, Inc. seeks an Intermediate DevOps/CI-CD Engineer to support secure Retrieval-Augmented Generation (RAG) applications using large language models.

The role focuses on building reliable delivery pipelines, automating deployment, and maintaining infrastructure for AI-enabled services in secure, often air‑gapped environments. The position requires strong software engineering fundamentals, hands-on CI/CD expertise, and collaboration with software developers, AI/ML