Lead Software & AI Engineer

<p><strong>Lead Software &amp; AI Engineer</strong></p> <p><strong>Position Overview</strong></p> <p>G2IT is seeking a highly skilled Lead Software &amp; 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.</p> <p>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.</p> <p><strong>Security Clearance Requirements</strong></p> <ul> <li>Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission.</li> </ul> <p><strong>Required Qualifications</strong></p> <ul> <li>Minimum five (5) years of hands-on experience developing and supporting microservices-based architectures.</li> <li>Minimum five (5) years of experience with containerized applications and Kubernetes-based environments.</li> <li>Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems.</li> <li>DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for Cyber Workforce Framework (CSWF) approval, such as:</li> <ul> <li>Security+ CE</li> <li>CySA+</li> <li>Equivalent approved certification</li> </ul> <li>Strong understanding of secure software development practices and DevSecOps methodologies.</li> <li>Excellent analytical, problem-solving, communication, and leadership skills.</li> </ul> <p><strong>Key Responsibilities</strong></p> <ul> <li>Lead the design, development, integration, and deployment of cloud-native software solutions supporting mission-critical operations.</li> <li>Architect and implement AI/ML and LLM-enabled capabilities within enterprise and operational systems.</li> <li>Design and develop scalable microservices and APIs using modern software engineering practices.</li> <li>Collaborate with government and contractor stakeholders to define technical requirements and deliver innovative solutions.</li> <li>Provide technical leadership, mentorship, and guidance to development and engineering teams.</li> <li>Support system modernization efforts through automation, cloud adoption, and DevSecOps best practices.</li> <li>Ensure security, scalability, reliability, and maintainability across all software solutions.</li> </ul> <p><strong>Technical Requirements</strong></p> <p><strong>Artificial Intelligence &amp; Machine Learning</strong></p> <ul> <li>Experience developing, integrating, and operationalizing:</li> <ul> <li>Machine Learning models</li> <li>Artificial Intelligence solutions</li> <li>Large Language Models (LLMs)</li> <li>AI-enabled workflows and applications</li> </ul> <li>Familiarity with modern AI frameworks, model deployment, inference pipelines, and retrieval-augmented generation (RAG) architectures is highly desirable.</li> </ul> <p><strong>Containerization &amp; Orchestration</strong></p> <ul> <li>Experience implementing and managing containerized applications using:</li> <ul> <li>Docker</li> <li>Podman</li> <li>Buildah</li> </ul> <li>Experience designing and maintaining orchestration platforms utilizing:</li> <ul> <li>Kubernetes</li> <li>OpenShift</li> <li>Helm</li> </ul> </ul> <p><strong>DevSecOps &amp; CI/CD</strong></p> <ul> <li>Experience developing and optimizing CI/CD pipelines using:</li> <ul> <li>GitLab</li> <li>Jenkins</li> <li>AWS CodeBuild</li> </ul> <li>Strong understanding of automated testing, deployment, and release management processes.</li> </ul> <p><strong>Infrastructure as Code &amp; Automation</strong></p> <ul> <li>Experience automating infrastructure provisioning and configuration management using:</li> <ul> <li>Terraform</li> <li>Ansible</li> <li>AWS CloudFormation</li> </ul> <li>Experience implementing repeatable and scalable infrastructure solutions.</li> </ul> <p><strong>Linux Systems Administration</strong></p> <ul> <li>Experience administering and supporting Linux-based environments including:</li> <ul> <li>Red Hat Enterprise Linux (RHEL)</li> <li>CentOS</li> <li>Ubuntu</li> </ul> </ul> <p><strong>Scripting &amp; Automation</strong></p> <ul> <li>Experience creating automation tools and operational scripts using:</li> <ul> <li>Bash</li> <li>Python</li> <li>PowerShell</li> </ul> </ul> <p><strong>Cloud Platforms</strong></p> <ul> <li>Experience designing, deploying, and maintaining applications and infrastructure within:</li> <ul> <li>Amazon Web Services (AWS)</li> <li>Microsoft Azure</li> </ul> </ul> <p><strong>Software Development</strong></p> <ul> <li>Experience developing full-stack applications utilizing:</li> <ul> <li>Java</li> <li>Python</li> <li>TypeScript</li> <li>React</li> <li>SQL</li> </ul> </ul> <p><strong>Agile &amp; Collaboration Tools</strong></p> <ul> <li>Experience supporting Agile development teams using:</li> <ul> <li>Jira</li> <li>Confluence</li> <li>Bitbucket</li> </ul> <li>Experience with source code control, documentation, and project management best practices.</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience supporting Department of Defense, Intelligence Community, or federal government programs.</li> <li>Experience implementing AI/ML capabilities in classified or secure environments.</li> <li>Cloud certifications (AWS, Azure).</li> <li>Kubernetes, OpenShift, Terraform, or DevSecOps certifications.</li> <li>Experience leading software development teams and technical modernization initiatives.</li> </ul> <p><em>Salary: $200- 225k depending on experience&nbsp;</em></p>