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

Northrop Grumman•Chandler, AZ

4d•$79,300 - $123,000•Onsite

About The Position

Northrop Grumman's Space Sector is seeking a highly motivated Software Automation Engineer with expertise in C++ and Python development to join their dynamic team in Chandler, AZ. This role is 100% onsite and involves designing, developing, and maintaining software solutions, managing DevOps processes, automating workflows with CI/CD pipelines, and supporting containerized development environments and infrastructure. The position combines hands-on software engineering with cutting-edge DevOps workflows and infrastructure support, driving innovative solutions at the intersection of software, automation, and systems deployment. The role can be filled at either a Level 2 or Level 3, and the work schedule is a 9/80 with every other Friday off. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time.

Requirements

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

Nice To Haves

Active DoD Secret Security Clearance or higher

Responsibilities

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