AI Software Developer - All Levels Remote

Summary

Leidos is an industry and technology leader serving government and commercial customers with digital and mission innovations. The company is seeking AI Software Developers at junior, mid, and senior levels to design and develop microservices for the L-CAP automation platform, supporting mission-critical air traffic management systems. The role involves collaborating across engineering teams, modernizing legacy systems, and applying AI-assisted development practices in a SAFe/Agile environment.

Responsibilities

• Design and develop microservices that form the backbone of the L-CAP automation platform
• Collaborate with architects to translate system designs into robust, scalable implementations
• Implement RESTful APIs and event-driven integrations within a hybrid cloud data mesh architecture
• Integrate with relational and NoSQL databases, ensuring data consistency and performance
• Perform performance tuning and optimization of services operating in distributed environments
• Conduct and lead code reviews, enforcing coding standards and best practices across the team
• Mentor junior developers, providing technical guidance and supporting their professional growth
• Troubleshoot and resolve complex issues spanning multiple services, APIs, and infrastructure layers
• Contribute to technical documentation including design documents, API specifications, and runbooks
• Participate actively in SAFe/Agile ceremonies and contribute to PI planning and backlog refinement
• Perform performance engineering activities including profiling, optimization, and latency analysis for distributed ATC services
• Maintain interface stability and backward compatibility when modernizing existing operational software into service-based implementations
• Modernize legacy ATC automation functions into cloud-native service implementations preserving operational behavior and performance characteristics
• Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity

Skills

• Applicants of any level may apply to this position and will be evaluated based on the criteria below
• Experience with AI-enabled or data-driven systems is advantageous
• Ability to obtain and maintain a favorable Public Trust investigation
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience in lieu of degree)
• A completed Master's degree will account for 2 additional years of experience below
• 2 or more years (Junior Level)
• 4 or more years (Mid Level)
• 8 or more years (Senior Level)
• Proficiency in Java or C++ with demonstrated experience building production software
• Experience designing and developing microservices-based applications
• Strong understanding of RESTful API design and implementation
• Experience with distributed systems and event-driven architectures
• Proficiency with CI/CD pipelines and DevOps practices
• Experience with relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra)
• Solid experience with Git and collaborative development workflows
• Familiarity with Agile/SAFe frameworks and iterative delivery
• Strong debugging, problem-solving, and analytical skills
• Ability to obtain and maintain a Public Trust
• Experience with performance engineering including profiling, benchmarking, and optimization of distributed services
• Knowledge of interface stability practices and API versioning for service-based architectures
• Experience modernizing legacy software into service-oriented or microservice implementations
• Ability to obtain and maintain a Public Trust
• U.S. citizenship required
• Python programming proficiency
• Experience with containerization and orchestration (Docker, Kubernetes)
• Cloud platform experience (AWS, Azure) including managed services
• Experience with message brokers (Kafka, RabbitMQ) and streaming architectures
• Knowledge of domain-driven design and data mesh patterns
• Experience in aviation, defense, or safety-critical software domains
• Familiarity with infrastructure-as-code tools (Terraform, Ansible)
• Experience with AI-assisted development tools (e.g., code generation, automated testing, intelligent debugging)
• Experience with performance-critical distributed systems in operational or real-time environments

Qualifications

Must Haves

• Applicants of any level may apply to this position and will be evaluated based on the criteria below
• Experience with AI-enabled or data-driven systems is advantageous
• ability to obtain and maintain a favorable Public Trust investigation
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience in lieu of degree)
• A completed Master's degree will account for 2 additional years of experience below
• 2 or more years (Junior Level)
• 4 or more years (Mid Level)
• 8 or more years (Senior Level)
• Proficiency in Java or C++ with demonstrated experience building production software
• Experience designing and developing microservices-based applications
• Strong understanding of RESTful API design and implementation
• Experience with distributed systems and event-driven architectures
• Proficiency with CI/CD pipelines and DevOps practices
• Experience with relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra)
• Solid experience with Git and collaborative development workflows
• Familiarity with Agile/SAFe frameworks and iterative delivery
• Strong debugging, problem-solving, and analytical skills
• Ability to obtain and maintain a Public Trust
• Experience with performance engineering including profiling, benchmarking, and optimization of distributed services
• Knowledge of interface stability practices and API versioning for service-based architectures
• Experience modernizing legacy software into service-oriented or microservice implementations
• Ability to obtain and maintain a Public Trust
• U.S. citizenship required

Nice to Haves

• Python programming proficiency
• Experience with containerization and orchestration (Docker, Kubernetes)
• Cloud platform experience (AWS, Azure) including managed services
• Experience with message brokers (Kafka, RabbitMQ) and streaming architectures
• Knowledge of domain-driven design and data mesh patterns
• Experience in aviation, defense, or safety-critical software domains
• Familiarity with infrastructure-as-code tools (Terraform, Ansible)
• Experience with AI-assisted development tools (e.g., code generation, automated testing, intelligent debugging)
• Experience with performance-critical distributed systems in operational or real-time environments

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement
• Hybrid position requiring 3 days onsite and 2 days working from home for those within a commutable distance of Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ
• 100% remote role may be considered for those who do not reside within a commutable distance