Software Engineer

Johns Hopkins Applied Physics Laboratory
Laurel, MD, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$135,000 - $180,000
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Computer-Aided Design Amazon Web Services Microsoft Azure C Sharp (Programming Language) C++ (Programming Language) Cloud Computing Code Review Data Structures Python (Programming Language) Object-Oriented Software Development Software Architecture
+6 more
Secure Coding Software Construction Software Systems System Testing Git Software Version Control

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks a Software Engineer to build mission-critical systems for national security, space exploration, and health. You will design, implement, and test secure, scalable software in a collaborative, research-driven environment, working alongside scientists and engineers to solve real-world problems. Responsibilities include developing production-quality code, integrating with complex systems, and contributing to prototypes and tools. APL supports advanced training, graduate education, and professional growth while fostering an inclusive, ethical, and intellectually curious culture., * Design, develop, test, and deploy software solutions for national security, space, and health missions.

  • Collaborate with scientists, engineers, and analysts to translate mission needs into robust software systems.
  • Implement secure, reliable, and scalable code following modern software engineering best practices.
  • Participate in code reviews, integration, and troubleshooting across complex systems.
  • Contribute to research prototypes and transition them into production-ready capabilities.
  • Document designs, interfaces, and test approaches to support maintainability and knowledge sharing.

Requirements

  • Object-oriented programming (e.g., Java, C++, C#)
  • Python or similar high-level language
  • Software design and architecture
  • Secure coding practices
  • Linux/Unix development environments
  • Version control with Git
  • Unit, integration, and system testing
  • CI/CD pipelines and Dev
  • Ops tools
  • Cloud platforms (e.g., AWS, Azure, or similar)
  • Data structures and algorithms

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