Lead AI Microservices Developer | Hybrid/Remote

Leidos LLC

United States

Hybrid

USD 87,000 - 157,000

Full time

44 hours ago
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Job summary

Leidos is seeking a Lead AI Software Developer to help advance the Common Baseline in a hybrid cloud, data mesh architecture. You will design and implement microservices-based software in a SAFe environment, collaborating with cross-functional teams to deliver reliable, real-time air traffic solutions.

Prioritize security, DevSecOps, and AI-enabled capabilities while supporting government programs and a Public Trust clearance.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • Hands-on experience building and supporting microservices-based systems
  • Experience with APIs and distributed system concepts

Responsibilities

  • Design, develop, and maintain microservices-based applications using modern software engineering practices
  • Collaborate with product owners, architects, and engineers in an Agile/SAFe environment
  • Participate in sprint planning, daily standups, reviews, and retrospectives
  • Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices
  • Integrate services with databases, messaging systems, and external APIs
  • Support troubleshooting, performance tuning, and continuous improvement
  • Work closely with QA, DevOps, and platform teams to ensure reliable delivery
  • Use AI-assisted development tools to accelerate coding and testing

Skills

Microservices
Programming languages
AI/ML-enabled systems
Agile/SAFe
APIs & distributed systems
Public Trust eligibility

Education

Bachelor's degree in CS/Engineering or related field

Tools

Git
CI/CD
Kafka
Docker/Kubernetes
Cloud (AWS/Azure/GCP)

Job description

Leidos is seeking a Lead AI Software Developer to help advance the Common Baseline in a hybrid cloud, data mesh architecture. You will design and implement microservices-based software in a SAFe environment, collaborating with cross-functional teams to deliver reliable, real-time air traffic solutions.

Prioritize security, DevSecOps, and AI-enabled capabilities while supporting government programs and a Public Trust clearance.

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