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.
*Please be aware that 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.
Responsibilities include, but are not limited to, the following:
- 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.
Basic Qualifications:
- 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
Preferred Qualifications:
- 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
Skills Required
- Bachelor’s degree in a STEM discipline with 8 years of relevant experience, or Master’s degree with 6 years, or PhD with 4 years
- 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
- 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
Northrop Grumman Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Northrop Grumman and has not been reviewed or approved by Northrop Grumman.
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Healthcare Strength — Health coverage offers multiple medical plan options by region alongside dental, vision, mental‑health resources, and wellness programs. Recent materials also highlight added family‑building support, including a dedicated fertility benefit.
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Retirement Support — The 401(k) savings plan is positioned as competitive with a company match, auto‑escalation features, and access to an employee stock fund/ESPP. Official filings and benefits guides emphasize retirement as a core element of the Total Rewards package.
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Leave & Time Off Breadth — Many sites offer a 9/80 schedule, generous PTO, paid holidays, and flexible/telework options where program needs allow. Paid parental and caregiver leave are prominently featured, with recent enhancements for the delivering parent.
Northrop Grumman Insights
What We Do
We are a close-knit community of big thinkers collaborating to keep the world safe. Our passion, creativity and expertise bring next-level technology solutions to life in autonomous systems, cyber, C4ISR, strike, space, and logistics and modernization for our customers around the globe. On the Northrop Grumman team, you’ll join our pursuit of excellence immersed in a dynamic culture of innovation and respect. Your unique perspective will help achieve our shared vision for the future of global security. Every step of the way, you'll be supported by world-class training, employee resource groups and a comprehensive benefits package that enables greater health and happiness for you and your family. Worldwide and across disciplines, we’re challenging what’s possible for technology to protect people and places from undersea to outer space and into cyberspace. And we see the impact of our performance every day. We are Northrop Grumman, and we work on what matters—now, you too can make a difference. Explore opportunities in engineering, IT, manufacturing, business management, cybersecurity and more with us. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.


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