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Software Engineer: Automation/AI - Level 2 or 3 (Chandler)

Northrop Grumman
AZCH02, United States, United Statesfull_timeVerifiedPosted 7 Jul 2026
💰 $123,000/yr($79,300/yr$123,000/yr)

About the role

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: None

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.

Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman’s Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Software Engineer Level 3 located in Chandler, AZ, you’ll be a linchpin in missions of paramount importance, defining the art of the possible from day one. This position is 100% onsite and cannot accommodate telecommute work.

We are seeking a highly motivated Software Automation Engineer with expertise in C++ and Python development to join our dynamic team. You will play a key role in designing, developing, and maintaining software solutions while also managing DevOps processes, automating workflows with CI/CD pipelines, and supporting containerized development environments and infrastructure.

This role combines hands-on software engineering expertise with the opportunity to work on cutting-edge DevOps workflows and infrastructure support. Join us and be part of a team driving innovative solutions at the intersection of software, automation, and systems deployment.
 

This position will work a 9/80 schedule, with every other Friday off.

Your Role and Impact:

  • Design, develop, document, test, and debug application software and systems
  • Automate workflows and processes by building and maintaining CI/CD pipelines and AI applications within a DevOps environment.
  • Develop and maintain containerized applications to ensure portability, scalability, and reliability.
  • Provide infrastructure support by troubleshooting, optimizing performance, and maintaining high availability of systems.
  • Excellent written and verbal communication skills.
  • Other duties as assigned

If this job description reads like it was written specifically for you, consider joining our team!

This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company.

Basic Qualifications for Level 2:

  • Bachelor’s degree with 5 years of professional experience – OR – Master’s degree with 3 years of professional experience – OR – PhD with 1 year of professional experience.  Will consider an additional 4+ years of experience in lieu of degree.
  • Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • Hands-on experience working in Linux environments, including scripting and system configuration.
  • Proficient in Python or GOLang with a strong background in software development, debugging, and testing.
  • Experience with GitLab CI/CD, version control systems, and automated pipelines for application deployment.
  • Demonstrated experience developing and deploying AI and/or Machine Learning (ML) solutions.
  • Familiarity with APIs and integrating models into applications or agentic frameworks such as Mastra, LangChain, or other similar toolkits for building autonomous agents.
  • Strong understanding of Large Language Models (LLMs), including fine-tuning, hosting, and inference optimization.
  • Experience with developing and hosting AI/ML models in cloud-based environments (e.g., AWS, Azure, or GCP) or on-premise containerized infrastructure.
  • Familiarity with vector databases, retrieval-augment

Basic Qualifications for Level 3:

  • Bachelor’s degree with 5 years of professional experience – OR – Master’s degree with 3 years of professional experience – OR – PhD with 1 year of professional experience.  

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Company

Northrop Grumman

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