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Lead Software & AI Engineer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: G2it, Llc.
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 225000 USD Yearly USD 200000.00 225000.00 YEAR
Job Description & How to Apply Below
Position: Lead Software & AI Engineer United States

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, Dev Sec Ops , 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.

Security Clearance Requirements
  • Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission.
Required Qualifications
  • 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+
    • Equivalent approved certification
  • Strong understanding of secure software development practices and Dev Sec Ops  methodologies.
  • Excellent analytical, problem‑solving, communication, and leadership skills.
Key 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 Dev Sec Ops  best practices.
  • Ensure security, scalability, reliability, and maintainability across all software solutions.
Technical Requirements Artificial Intelligence & Machine Learning
  • Experience developing, integrating, and operationalizing AI solutions and AI‑enabled workflows.
  • Experience with modern AI frameworks, model deployment, inference pipelines, and retrieval‑augmented generation (RAG) architectures is highly desirable.
Containerization & Orchestration
  • Experience implementing and managing containerized applications using Docker and Podman.
  • Experience designing and maintaining orchestration platforms utilizing Open Shift.
Dev Sec Ops  & CI/CD
  • Experience developing and optimizing CI/CD pipelines using Git Lab, Jenkins, and AWS Code Build.
  • Strong understanding of automated testing, deployment, and release management processes.
Infrastructure as Code & Automation
  • Experience automating infrastructure provisioning and configuration management using Terraform, Ansible, and AWS Cloud Formation.
  • Experience implementing repeatable and scalable infrastructure solutions.
  • Experience administering and supporting Linux‑based environments including CentOS and Ubuntu.
Scripting & Automation
  • Experience creating automation tools and operational scripts using Bash, Python, and Power Shell.
  • Experience designing, deploying, and maintaining applications and infrastructure within Amazon Web Services (AWS).
Software Development
  • Proficiency in Java, Python, Type Script, React, SQL.
  • Experience with Jira, Confluence, and Bitbucket.
  • Experience with source code control, documentation, and project management best practices.
Preferred Qualifications
  • 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).
  • Certifications in Kubernetes, Open Shift, Terraform, or Dev Sec Ops .
  • Experience leading software development teams and technical modernization initiatives.

Salary: $200,000–$225,000 depending on experience.

As set forth in G2IT’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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