Senior AI Software Developer

Leidos

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

Posted 10/14/2026full-timeUnited StatesSenior💰 $107,900 - $195,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing microservices and RESTful APIs within hybrid cloud architectures, with a strong focus on performance optimization and data consistency. Proficient in mentoring and leading teams while adhering to Agile methodologies and best coding practices.

Highest-signal resume keywords

Microservices DevelopmentRESTful API DesignCI/CD PipelinesJava or C++ ProficiencyCloud Platform Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

MicroservicesRESTful APIsJavaC++CI/CDPostgreSQLMongoDBDockerKubernetesPerformance Optimization

Soft Skills

Problem-SolvingAnalytical SkillsMentoringCollaborationDebugging

Tools & Technologies

GitAWSAzureKafkaRabbitMQTerraformAnsibleAI-Assisted Development Tools

Certifications & Qualifications

Bachelor’s Degree in Computer SciencePublic Trust Clearance

Industry Keywords

AviationDefenseSafety-Critical SoftwareEvent-Driven ArchitectureData Mesh

Tech Stack

Tools & technologies

AnsibleAWSAzureCassandraCloudDistributed SystemsDockerJavaKafkaKubernetesMicroservicesMongoDBNoSQLOraclePostgresPythonRabbitMQTerraformC++

About the role

Key responsibilities & impact

Design and develop microservices forming 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, profiling, optimization, benchmarking, and latency analysis for distributed ATC 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
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
Support mission-critical, real-time, safety-critical national air traffic operations

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 8 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 including PostgreSQL and Oracle, and NoSQL databases including MongoDB and 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
U.S. citizenship required
Successful completion of background investigations as required by the government customer
Python programming proficiency preferred
Experience with Docker and Kubernetes preferred
Cloud platform experience with AWS and Azure, including managed services, preferred
Experience with 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 Terraform and Ansible preferred
Experience with AI-assisted development tools preferred
Experience with performance-critical distributed systems in operational or real-time environments preferred

Benefits

Comp & perks

Hybrid schedule: 3 days onsite and 2 days working from home for employees within commuting distance
100% remote consideration for employees outside commuting distance
AI-assisted development tools and modern engineering practices