Job description

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. 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 Primary Level Salary Range: $172,100.00 - $258,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit northropgrumman.com. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Requirements

Must-haves

RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Top Secret
TRAVEL: Yes, 10% of the Time Description
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.
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.
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

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
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

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aimlllmdockerkubernetespythonawsazureci/cdjava

Platform: eightfold
Effort: medium

Benefits

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Health Insurance

Pto

Paid Time Off