G2IT
Lead Software & AI Engineer
San Diego, California, United States · Contract
No sponsorship$200k-$225kDetected 29 days ago
TypeScriptPythonJavaBashPowerShellReactFull-Stack DevelopmentGitSQLAWSAzureCloud PlatformsDockerKubernetesTerraformAnsibleHelmCI/CDJenkinsLinuxMachine LearningLLMsRAGCybersecurity
About the role
- 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.
- Salary: $200- 225k depending on experience
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.
- Support system modernization efforts through automation, cloud adoption, and DevSecOps best practices.
Requirements
- Minimum five (5) years of experience with containerized applications and Kubernetes-based environments.
- DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for Cyber Workforce Framework (CSWF) approval, such as:
- Strong understanding of secure software development practices and DevSecOps methodologies.
- DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for
- Familiarity with modern AI frameworks, model deployment, inference pipelines, and retrieval-augmented generation (RAG) architectures is highly desirable.
- Experience with source code control, documentation, and project management best practices.
Nice to have
- 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.
Skills
- Python
- PowerShell
- Experience designing, deploying, and maintaining applications and infrastructure within:
- Amazon Web Services (AWS)
- Microsoft Azure
- Artificial Intelligence & Machine Learning
- Experience developing, integrating, and operationalizing:
- Machine Learning models
- Artificial Intelligence solutions
- Large Language Models (LLMs)
- AI-enabled workflows and applications
- Containerization & Orchestration
Compensation
- Salary: $200- 225k depending on experience
Visa & Work Authorization
- Security Clearance Requirements
This listing is sourced directly from G2IT's careers page and normalized into a canonical job model.