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Northrop Grumman

AI/DevOps Engineer - Level 4 (AHT)

  • Office
  • 6+ years

Salary

$172,100/ year

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Description

The company's Space Sector is hiring an AI/DevOps Engineer at Level 4 to deploy, integrate and sustain AI/ML and LLM-based tools in secure enterprise settings. The job is based in Redondo Beach, CA.

You will focus on Linux infrastructure, containerized deployments, cloud platforms, automation and secure application integration that supports operational AI. You will act as a hands-on technical contributor across software, platform, AI/ML and cybersecurity teams to build solutions that scale, are easy to maintain and are secure. The work calls for working independently, sharp troubleshooting and the ability to support complex deployments in enterprise environments.

This position depends on securing and keeping associated business or customer funding and obtaining and maintaining the required clearances and program access within a timeframe the company sets. Continued employment after that requires keeping the clearance level and program access the role needs in the future.

Relocation assistance may be available. Clearance is required before start. The required clearance is Top Secret. Travel is 10% of the time.

Responsibilities

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

Requirements

  • Bachelor's degree in a STEM field with 8 years of relevant experience, or a Master's degree in STEM with 6 years of relevant experience, or a PhD in STEM with 4 years of relevant experience.
  • Active U.S. Government Top Secret clearance at the time you apply.
  • Experience operating and troubleshooting Linux environments.
  • Experience writing automation in Bash and Python.
  • Experience deploying and managing containerized applications with Podman, Docker, Portainer, Kubernetes or similar technologies.
  • Experience deploying, supporting or sustaining AI/ML, LLM-enabled or other advanced software in production or enterprise environments.
  • Experience with AWS, Azure or both.
  • Experience with GitHub, GitLab or both.
  • Experience with OAuth/SSO, credential management and session management.
  • Experience working with SSL certificates and enterprise proxy or firewall configurations.
  • Preferred: experience with Ollama, SageMaker, Azure AI Foundry or similar model deployment technologies.
  • Preferred: experience with LangChain, Langflow, MCP, Supergateway or similar AI orchestration tooling.
  • Preferred: experience with Keycloak or similar identity and access management platforms.
  • Preferred: experience with MLOps tools and practices such as MLflow, Kubeflow, Airflow, model registries and automated deployment workflows.
  • Preferred: familiarity with Java.
  • Preferred: familiarity with VS Code, Eclipse IDE or both.
  • Preferred: experience supporting AI inference services, APIs, microservices or batch processing pipelines in enterprise environments.

Conditions

Based in Redondo Beach, CA.

Travel is 10% of the time.

Top Secret clearance is required for start.

Relocation assistance may be available.

The base pay range is $172,100.00 to $258,100.00. This is a general guideline, and final pay depends on factors such as the scope of the role and your experience, education, skills and current market conditions.

The application window is estimated at 20 days from the posting date and may be shortened or extended based on business needs and candidate availability.

Equal opportunity statement: the company does not discriminate on protected characteristics.

Benefits

  • Depending on the role, you may be eligible for overtime, shift differential and a discretionary bonus on top of base pay.
  • Annual bonuses reward individual contributions and let employees share in company results.
  • Vice President and Director roles may be eligible for Long Term Incentives.
  • Benefits include health insurance, life and disability insurance, a savings plan, paid company holidays and paid time off for vacation or personal business.

Where you’d work

From the office

Relocation offered

About the company

Northrop Grumman

Office in United States

Also hiring in Boulder, United States, San Diego, United States, Baltimore, United States and 9 more places

2 of their 854 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 3 red flags

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1 red flag

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8 checks

2 red flags

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Azure
  • Linux
  • CI/CD
  • GitLab
Type
Full-time
Specialty
DevOps
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Experience
8+ years
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Azure
  • Linux
  • CI/CD
  • GitLab

Location

Work model
Office
Region
United States
Office
  • United States
Relocation
Offered

Compensation

Salary
$172,100 / year
Pay period
Annual

Employment

Type
Full-time

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