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Leidos
Leidos
H1B Visa SponsorConsultingHealthcareLogistics
Leidos is a systems integrator working across science, technology, and engineering to support complex customer missions. Its work spans aviation, defense, energy, government, healthcare, intelligence, science, and space, with capabilities that include artificial intelligence, digital modernization, cyber operations, and integrated mission software. The company also develops solutions such as counter-unmanned aerial systems and electric-vehicle infrastructure for military use. Leidos’ broader profile includes a focus on diversity, equity, inclusion, sustainability, charitable initiatives, and community programs.
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AI Software Developer (All Levels) – Hybrid, Gaithersburg

Develop microservices, APIs, and cloud-native automation for Leidos’ mission-critical air traffic systems. Apply AI-assisted engineering practices across safety-critical government programs.

USUnited StatesMDMarylandMNMinnesotaNJNew Jersey
$87,100 – $157,450 / year
HybridFull-timeJuniorMiddleEnglish RequiredFull-stack EngineerSoftware Engineer
AnsibleAWSAzureC++CassandraCloudDistributed SystemsDockerJavaKafkaKubernetesMicroservicesMongoDBNoSQLOraclePostgresPythonRabbitMQTerraform

Description

  • Build and maintain microservices that support the L-CAP automation platform.
  • Work with architects to turn system designs into scalable, reliable implementations.
  • Develop RESTful APIs and event-driven integrations within a hybrid-cloud data mesh.
  • Integrate relational and NoSQL databases while maintaining data consistency and performance.
  • Tune and optimize distributed services for improved performance.
  • Lead and participate in code reviews while upholding engineering standards and best practices.
  • Mentor junior developers and offer technical guidance.
  • Diagnose and resolve complex problems across services, APIs, and infrastructure.
  • Create and maintain design documents, API specifications, and operational runbooks.
  • Take part in SAFe and Agile ceremonies, PI planning, and backlog refinement.
  • Profile distributed air traffic control services and analyze optimization and latency opportunities.
  • Preserve interface stability and backward compatibility throughout modernization efforts.
  • Transform legacy air traffic control automation functions into cloud-native services.
  • Use AI-assisted development tools, automation, and contemporary software engineering practices.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related technical discipline, or equivalent experience in place of a degree.
  • At least 2 years of experience for the Junior level.
  • At least 4 years of experience for the Mid level.
  • At least 8 years of experience for the Senior level.
  • Proficiency in Java or C++ with demonstrated production software development experience.
  • Background designing and developing microservices-based applications.
  • Strong knowledge of RESTful API design and implementation.
  • Experience working with distributed systems and event-driven architectures.
  • Proficiency with CI/CD pipelines and DevOps practices.
  • Experience using relational databases such as PostgreSQL and Oracle, plus NoSQL databases such as MongoDB and Cassandra.
  • Solid Git experience and familiarity with collaborative development workflows.
  • Familiarity with Agile and SAFe frameworks and iterative delivery practices.
  • Strong debugging, problem-solving, and analytical abilities.
  • Ability to obtain and maintain a Public Trust.
  • Experience with performance engineering, including profiling, benchmarking, and distributed-service optimization.
  • Knowledge of interface stability and API versioning practices for service-oriented architectures.
  • Experience converting legacy software into service-oriented or microservice implementations.
  • U.S. citizenship is required.
  • Successful completion of background investigations required by the government customer.
  • Proficiency in Python programming.
  • Experience with Docker containerization and Kubernetes orchestration.
  • Experience with AWS or Azure cloud platforms, including managed services.
  • Experience with Kafka or RabbitMQ message brokers and streaming architectures.
  • Knowledge of domain-driven design and data mesh patterns.
  • Experience in aviation, defense, or other safety-critical software environments.
  • Familiarity with infrastructure-as-code tools such as Terraform and Ansible.
  • Experience using AI-assisted development tools.
  • Experience with performance-critical distributed systems in operational or real-time environments.

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