Lead AI Software Developer

Leidos; Deutschland; Hybrid; EUR 75.000 - 136.000; Vollzeit

Zusammenfassung

Leidos is seeking a Lead AI Software Developer to join the Air Traffic Business Area within the Homeland Sector, supporting the Leidos Common Baseline, a hybrid cloud data mesh solution for mission-critical operations.

You’ll design and implement microservices in an Agile/SAFe environment, collaborating with systems engineering, product delivery, and DevSecOps teams to deliver reliable, AI-enabled software for national air traffic operations. Hybrid work is available from commutable locations.

Qualifikationen

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent).
• 4+ years of relevant experience or a Master's plus 2+ years experience.
• Hands‑on experience building and supporting microservices-based systems.
• Proficiency in at least one modern language (Java, Python, C++, etc.) on Linux.
• Experience with AI/ML-enabled systems, automation, or intelligent platforms.
• Experience in Agile environments and understanding of APIs/distributed systems.
• U.S. citizenship required and ability to obtain Public Trust.
• Successful completion of required background investigations.

Aufgaben

• Design, develop, and maintain microservices-based applications with best practices.
• Collaborate with product owners, architects, and engineers in an Agile/SAFe environment.
• Participate in sprint planning, standups, reviews, and retrospectives.
• Translate requirements into working software with CI/CD and DevSecOps.
• Integrate services with databases, messaging systems, and external APIs.
• Use AI-assisted development tools to accelerate coding and testing.

Kenntnisse

Microservices

Programming languages (Java, Python, C

Agile/SAFe

AI/ML-enabled systems

APIs & distributed systems

Ausbildung

Bachelor’s degree in CS/Engineering or equivalent

Tools

Git

CI/CD

Kafka

Docker/Kubernetes

Cloud (AWS/Azure/GCP)

Jobbeschreibung

Leidos is seeking a Lead AI Software Developer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Baseline. Common Baseline is a mission-critical, future-ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud-native and AI-enabled capabilities. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety-critical environment.

In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment. Experience with AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation

This is a hybrid position requiring 3 days onsite and 2 days working from home, if you are located within a commutable distance (Less than 1 hour's drive one-way during normal traffic) from Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ. However, if you do not reside within a commutable distance, you may be considered for a 100% remote role.

This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.

What You’ll Do

• Design, develop, and maintain microservices-based applications using modern software engineering best practices
• Collaborate with product owners, architects, and engineers in an Agile/SAFe environment
• Participate in sprint planning, daily standups, reviews, and retrospectives
• Collaborate with systems engineering and program teams to translate requirements into working software solutions
• Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices
• Contribute to system design discussions and technical decision-making
• 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
• Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing
• Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation

Core Technical Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
• 4+ years of relevant experience or a Master's Degree and 2+ years of relevant experience
• Hands‑on experience building and supporting microservices-based systems
• Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system)
• Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms.
• Experience working in Agile environments
• Understanding of APIs and distributed system concepts
• Ability to obtain and maintain a Public Trust
• U.S. citizenship required
• Successful completion of background investigations as required by the government customer

Preferred / Desired Qualifications

• Experience with Git-based version control and CI/CD pipelines
• Familiarity with Scaled Agile Framework (SAFe)
• Experience working with relational and/or NoSQL databases
• Hands‑on experience with Kafka or other event-streaming technologies
• Cloud experience (AWS, Azure, or GCP)
• Containerization and orchestration experience (Docker, Kubernetes)
• Experience working in DevSecOps environmentsExperience with test automation frameworks and integration of automated test suites into CI/CD pipelines
• Desired but not required: Commutable distance to Gaithersburg, MD or Egg Harbor Township, NJ.

Why Leidos?

You’ll work on systems where performance, precision, and reliability matter — every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure.

If you’re excited by solving complex problems in regulated, real-world environments — and using AI as a force multiplier rather than a shortcut — we’d like to talk.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.