Principal AI Software Developer

Leidos

. Design and develop microservices forming the backbone of the L-CAP automation platform .

Posted 10/8/2026full-timeUnited StatesLead💰 $131,300 - $237,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing microservices, implementing RESTful APIs, and optimizing distributed systems within a hybrid cloud architecture. Proficient in mentoring junior developers and leading code reviews while adhering to best practices in software development.

Highest-signal resume keywords

Microservices DevelopmentRESTful API DesignPerformance EngineeringCI/CD PipelinesAgile/SAFe Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaC++MicroservicesDistributed SystemsRelational DatabasesNoSQL DatabasesPerformance TuningDebuggingCloud-Native DevelopmentAI-Assisted Development

Soft Skills

Problem-SolvingAnalytical SkillsMentoring

Tools & Technologies

GitDockerKubernetesAWSAzureKafkaRabbitMQTerraformAnsible

Certifications & Qualifications

Public Trust

Industry Keywords

AviationDefenseSafety-Critical SoftwareData Mesh Patterns

Tech Stack

Tools & technologies

AnsibleAWSAzureCassandraCloudDistributed SystemsDockerJavaKafkaKubernetesMicroservicesMongoDBNoSQLOraclePostgresPythonRabbitMQTerraformC++

About the role

Key responsibilities & impact

Design and develop microservices forming 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 relational and NoSQL databases while ensuring data consistency and performance
Perform performance tuning and optimization of distributed services
Conduct and lead code reviews, enforcing coding standards and best practices
Mentor junior developers and provide technical guidance
Troubleshoot complex issues across services, APIs, and infrastructure layers
Contribute to design documents, API specifications, and runbooks
Participate in SAFe/Agile ceremonies, PI planning, and backlog refinement
Perform profiling, optimization, and latency analysis for distributed ATC services
Maintain interface stability and backward compatibility while modernizing operational software
Modernize legacy ATC automation functions into cloud-native service implementations
Adopt AI-assisted development tools, automation, and modern engineering practices

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience in lieu of degree)
Minimum 12 or more years of experience
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
U.S. citizenship required
Successful completion of background investigations as required by the government customer
Preferred: Python programming proficiency
Preferred: Experience with containerization and orchestration (Docker, Kubernetes)
Preferred: Cloud platform experience (AWS, Azure) including managed services
Preferred: Experience with message brokers (Kafka, RabbitMQ) and streaming architectures
Preferred: Knowledge of domain-driven design and data mesh patterns
Preferred: Experience in aviation, defense, or safety-critical software domains
Preferred: Familiarity with infrastructure-as-code tools (Terraform, Ansible)
Preferred: Experience with AI-assisted development tools
Preferred: Experience with performance-critical distributed systems in operational or real-time environments