Lead Backend & Integration Engineer (TS/SCI)

L3Harris Technologies, Inc.

Eglin Air Force Base (FL)

On-site

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

L3Harris Technologies, Inc. is seeking a lead software engineer with extensive backend experience for on-site work at Patrick Space Force Base, FL. The role emphasizes secure, scalable services, AWS deployment, and collaboration with intelligence and mission-focused teams.

Ideal candidates will have TS/SCI clearance, a strong Java background, experience with CI/CD, containerization (Docker/Kubernetes), and AI-assisted development. On-site work supports classified environments and DoD missions.

Qualifications

  • Bachelor’s degree in computer science or computer engineering with a minimum of 9 years of relevant experience, or a graduate degree with 7+ years; in lieu of degree, 13+ years of related experience.
  • Active TS/SCI clearance is required.

Responsibilities

  • Develop secure, scalable backend services and application logic for mission applications and workflows.
  • Lead software and infrastructure teams; participate in Scrum ceremonies and Agile practices.
  • Deploy and maintain applications in AWS with emphasis on security, resilience, and cost-effectiveness.
  • Engage with customers daily to refine requirements and improve functionality.
  • Produce and maintain design documents, roadmaps, and deployment procedures.

Skills

Java proficiency
AI-assisted development tools
CI/CD practices
Security-conscious software

Education

B.S. in computer science or computer engineering
Graduate degree (preferred)

Tools

Docker
Kubernetes
AWS
Git
REST APIs

Job description

L3Harris Technologies, Inc. is seeking a lead software engineer with extensive backend experience for on-site work at Patrick Space Force Base, FL. The role emphasizes secure, scalable services, AWS deployment, and collaboration with intelligence and mission-focused teams.

Ideal candidates will have TS/SCI clearance, a strong Java background, experience with CI/CD, containerization (Docker/Kubernetes), and AI-assisted development. On-site work supports classified environments and DoD missions.

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