Lead Software & AI Engineer

Position Overview

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.

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 DevSecOps 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 DevSecOps best practices.
• Ensure security, scalability, reliability, and maintainability across all software solutions.

Technical Requirements

• Artificial Intelligence & Machine Learning:
• Experience developing, integrating, and operationalizing:
• Machine Learning models
• Artificial Intelligence solutions
• Large Language Models (LLMs)
• AI-enabled workflows and applications
• Familiarity 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
• Podman
• Buildah
• Experience designing and maintaining orchestration platforms utilizing:
• Kubernetes
• OpenShift
• Helm
• DevSecOps & CI/CD:
• Experience developing and optimizing CI/CD pipelines using:
• GitLab
• Jenkins
• AWS CodeBuild
• Strong understanding of automated testing, deployment, and release management processes.
• Infrastructure as Code & Automation:
• Experience automating infrastructure provisioning and configuration management using:
• Terraform
• Ansible
• AWS CloudFormation
• Experience implementing repeatable and scalable infrastructure solutions.
• Linux Systems Administration:
• Experience administering and supporting Linux-based environments including:
• Red Hat Enterprise Linux (RHEL)
• CentOS
• Ubuntu
• Scripting & Automation:
• Experience creating automation tools and operational scripts using:
• Bash
• Python
• PowerShell
• Cloud Platforms:
• Experience designing, deploying, and maintaining applications and infrastructure within:
• Amazon Web Services (AWS)
• Microsoft Azure
• Software Development:
• Experience developing full-stack applications utilizing:
• Java
• Python
• TypeScript
• React
• SQL
• Agile & Collaboration Tools:
• Experience supporting Agile development teams using:
• Jira
• Confluence
• 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).
• Kubernetes, OpenShift, Terraform, or DevSecOps certifications.
• Experience leading software development teams and technical modernization initiatives.

Salary

$200- 225k depending on experience

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