Software Engineer

Navstar Inc.
Highland Beach, MD, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Performance Management Unit Testing Computer Engineering Continuous Integration Software Debugging DevOps Distributed Systems Python (Programming Language) Software Engineering Web Applications Flask (Web Framework)
+11 more
Spring-boot Software Application Programming Backend Git Kubernetes Information Technology Deployment Automation Restful APIs Data Pipelines Docker Microservices

Job description

The Software Engineer Level 1 designs, develops, and maintains web-based software applications supporting critical national defense missions. This role contributes across the full software development lifecycle, building backend services, RESTful APIs, and data pipelines that power mission applications, analytics, and operational capabilities., n \n

  • Design, develop, test, and maintain web-based software applications using Java and Python. \n

  • Build and support RESTful APIs and integrate external data sources. \n

  • Troubleshoot, debug, and resolve software defects while optimizing application performance. \n

  • Support DevOps processes, CI/CD pipelines, and automated deployment workflows. \n

  • Develop and maintain technical documentation, unit tests, and release documentation. \n

  • Collaborate with software engineers, analysts, and mission stakeholders to define, refine, and implement new capabilities. \n

Requirements

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field (or equivalent combination of education and experience). \n

  • Minimum of 5 years of relevant software development experience. \n

  • Proficiency developing applications with Java, Python, Spring Boot, and/or Flask. \n

  • Experience using Git, Docker, Kubernetes, and virtualized development environments., * Strong understanding of distributed systems, microservices, and data pipeline architectures.

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