Lead Software & AI Engineer
G2IT•San Diego, CA
•$165,000 - $175,000
About The Position
G2IT is seeking a highly skilled Lead Software & AI Engineer to support mission-critical Department of Defense initiatives. The ideal candidate will possess extensive experience in software engineering, cloud-native application development, DevSecOps, and Artificial Intelligence/Machine Learning (AI/ML) integration within operational environments. This position requires a technical leader capable of designing, developing, and deploying advanced software solutions while integrating Machine Learning, Artificial Intelligence, and Large Language Models (LLMs) into secure enterprise and mission systems.
Requirements
- Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission.
- Minimum five (5) years of hands-on experience developing and supporting microservices-based architectures.
- Minimum five (5) years of experience with containerized applications and Kubernetes-based environments.
- Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems.
- DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for Cyber Workforce Framework (CSWF) approval, such as: Security+ CE, CySA+, or an Equivalent approved certification.
- Strong understanding of secure software development practices and DevSecOps methodologies.
- Excellent analytical, problem-solving, communication, and leadership skills.
- Experience developing, integrating, and operationalizing Machine Learning models, Artificial Intelligence solutions, Large Language Models (LLMs), and AI-enabled workflows and applications.
- Experience implementing and managing containerized applications using Docker, Podman, and Buildah.
- Experience designing and maintaining orchestration platforms utilizing Kubernetes and OpenShift.
- Experience developing and optimizing CI/CD pipelines using GitLab, Jenkins, and AWS CodeBuild.
- Strong understanding of automated testing, deployment, and release management processes.
- Experience automating infrastructure provisioning and configuration management using Terraform, Ansible, and AWS CloudFormation.
- Experience implementing repeatable and scalable infrastructure solutions.
- Experience administering and supporting Linux-based environments including Red Hat Enterprise Linux (RHEL), CentOS, and Ubuntu.
- Experience creating automation tools and operational scripts using Bash, Python, and PowerShell.
- Experience designing, deploying, and maintaining applications and infrastructure within Amazon Web Services (AWS) and Microsoft Azure.
- Experience developing full-stack applications utilizing Java, Python, TypeScript, React, SQL.
- Experience supporting Agile development teams using Jira, Confluence, and Bitbucket.
- Experience with source code control, documentation, and project management best practices.
Nice To Haves
- Familiarity with modern AI frameworks, model deployment, inference pipelines, and retrieval-augmented generation (RAG) architectures.
- Experience designing and maintaining orchestration platforms utilizing Helm.
- Experience supporting Department of Defense, Intelligence Community, or federal government programs.
- Experience implementing AI/ML capabilities in classified or secure environments.
- Cloud certifications (AWS, Azure).
- Kubernetes, OpenShift, Terraform, or DevSecOps certifications.
- Experience leading software development teams and technical modernization initiatives.
Responsibilities
- Lead the design, development, integration, and deployment of cloud-native software solutions supporting mission-critical operations.
- Architect and implement AI/ML and LLM-enabled capabilities within enterprise and operational systems.
- Design and develop scalable microservices and APIs using modern software engineering practices.
- Collaborate with government and contractor stakeholders to define technical requirements and deliver innovative solutions.
- Provide technical leadership, mentorship, and guidance to development and engineering teams.
- Support system modernization efforts through automation, cloud adoption, and DevSecOps best practices.
- Ensure security, scalability, reliability, and maintainability across all software solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
