AI/DevOps Engineer - Level 4 (AHT)

Northrop Grumman•Redondo Beach, CA

2d•$172,100 - $258,100•Onsite

About The Position

Northrop Grumman's Space Sector is seeking an AI/DevOps Engineer - Level 4 to support the deployment, integration, and sustainment of AI/ML and LLM-enabled tools in secure enterprise environments in Redondo Beach, CA. This position is contingent upon obtaining and maintaining associated business and/or customer funding and obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, you will focus on Linux-based infrastructure, containerized deployments, cloud platforms, automation, and secure application integration in support of operational AI capabilities. You will serve as a technical contributor across software, platform, AI/ML, and cybersecurity teams to deliver scalable, maintainable, and secure solutions. The role requires independent execution, strong troubleshooting skills, and the ability to support complex deployments in enterprise environments.

Requirements

Bachelor’s degree in a STEM discipline with 8 years of relevant experience; OR Master’s degree in STEM with 6 years of relevant experience; OR PhD in STEM with 4 years of relevant experience
Must have an active U.S. Government Top Secret clearance at the time of application
Experience operating and troubleshooting Linux environments
Experience developing automation using Bash and Python
Experience deploying and managing containerized applications using Podman, Docker, Portainer, Kubernetes, or similar technologies
Experience deploying, supporting, or sustaining AI/ML, LLM-enabled, or other advanced software solutions in production or enterprise environments
Experience with AWS and/or Azure cloud platforms
Experience with GitHub and/or GitLab
Experience with OAuth/SSO, credential management, and session management
Experience working with SSL certificates and enterprise proxy/firewall configurations

Nice To Haves

Experience with Ollama, SageMaker, Azure AI Foundry, or similar model deployment technologies
Experience with LangChain, Langflow, MCP, Supergateway, or similar AI orchestration tooling
Experience with Keycloak or similar identity and access management platforms
Experience with MLOps tools and practices such as MLflow, Kubeflow, Airflow, model registries, and automated deployment workflows.
Familiarity with Java
Familiarity with VS Code and/or Eclipse IDE
Experience supporting AI inference services, APIs, microservices, or batch processing pipelines in enterprise environments

Responsibilities

Deploy, configure, and sustain infrastructure supporting AI/ML and LLM-enabled applications and services.
Administer and troubleshoot Linux-based environments across development, test, and production.
Build, deploy, and manage containerized solutions using technologies such as Podman, Docker, Portainer, and Kubernetes.
Develop automation and operational tooling using Bash and Python.
Support cloud-based deployments and integrations in AWS and/or Azure environments.
Implement and maintain source control and CI/CD workflows using GitHub and/or GitLab.
Configure and troubleshoot enterprise integrations involving proxies, firewalls, SSL certificates, OAuth, SSO, credential management, and session management.
Partner with cross-functional teams to resolve technical issues and improve the reliability, security, and maintainability of AI platform capabilities.
Develop and maintain technical documentation, deployment procedures, and operational runbooks.