G2IT

Lead Software & AI Engineer

G2IT
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2 months ago
San Diego, CA, USAStaff+

Base Salary

$200k - $225k/yr

Responsibilities

  • Lead the design, development, integration, and deployment of cloud-native software solutions for mission-critical operations.
  • Architect and implement AI/ML and LLM-enabled capabilities within enterprise and operational systems.
  • Design and develop scalable microservices and APIs.
  • Collaborate with government and contractor stakeholders to define technical requirements and deliver solutions.
  • Provide technical leadership, mentorship, and guidance to development and engineering teams.
  • Support modernization through automation, cloud adoption, and DevSecOps practices.
  • Ensure software security, scalability, reliability, and maintainability.

Requirements

  • At least five years of hands-on experience developing and supporting microservices-based architectures.
  • At least five years of experience with containerized applications and Kubernetes-based environments.
  • Experience developing, integrating, deploying, and operationalizing ML models, AI solutions, LLMs, and AI-enabled workflows or applications.
  • Familiarity with AI frameworks, model deployment, inference pipelines, and retrieval-augmented generation architectures is preferred.
  • DoD 8140/8570 IAT Level II or equivalent Cyber Workforce Framework certification, such as Security+ CE or CySA+.
  • Experience with Docker, Podman, Buildah, Kubernetes, OpenShift, and Helm.
  • Experience with CI/CD pipelines using GitLab, Jenkins, or AWS CodeBuild.
  • Experience with Terraform, Ansible, or AWS CloudFormation for infrastructure automation.
  • Experience administering Linux environments including Red Hat Enterprise Linux, CentOS, and Ubuntu.
  • Experience scripting with Bash, Python, and PowerShell.
  • Experience designing and maintaining applications and infrastructure on AWS and Microsoft Azure.
  • Experience developing full-stack applications using Java, Python, TypeScript, React, and SQL.
  • Experience with Jira, Confluence, and Bitbucket.
  • Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission.
  • Preferred qualifications include DoD, Intelligence Community, or federal program experience; AI/ML work in classified environments; AWS or Azure certifications; Kubernetes, OpenShift, Terraform, or DevSecOps certifications; and experience leading software teams or modernization initiatives.

Tech Stack

AnsibleAWSAzureBashDockerHelmJavaJenkinsKubernetesOpenShiftPowerShellPythonReactSQLTerraformTypeScript
G2IT

About G2IT

11-50 employees
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