AI Software Developer - All Levels Remote

Summary

Leidos is a company developing mission-critical systems for national infrastructure and air traffic operations. The AI Software Developer will design, develop, modernize, and optimize microservices-based applications for the L-CAP automation platform using AI-augmented practices in a hybrid cloud environment. The role also involves collaboration across engineering teams, code reviews, technical mentoring, troubleshooting, documentation, and participation in SAFe/Agile delivery practices.

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

• 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

• 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

• Hybrid work arrangement requiring 3 days onsite and 2 days working from home for employees within a commutable distance of Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ.
• 100% remote work may be considered for employees who do not reside within a commutable distance of the listed locations.