We’re looking for an Application Software Engineer to help build the user-facing tools and APIs that power our next-generation RF monitoring systems.
You’ll work across Windows and Linux platforms to develop applications and interfaces that handle vast amounts of data — transforming raw signal intelligence into usable insight for mission-critical users. This is a great opportunity to work at the intersection of embedded systems and high-level software, taking ownership of systems that span the full stack.

🔧 What You’ll Be Doing

• Full software development lifecycle: from design and requirements to testing and deployment
• Develop clean, high-quality software in C# for client-server systems
• Build and maintain RESTful APIs to interface with embedded and distributed devices
• Create and maintain functional specifications and documentation
• Write unit tests and contribute to test automation
• Perform peer reviews and help maintain code quality across the team
• Collaborate with engineers across embedded, systems, and hardware disciplines

🧠 What You’ll Bring

• Strong knowledge of C# and object-oriented programming
• Experience developing and maintaining RESTful APIs
• Familiarity with client-server architectures and data-heavy applications
• Good grasp of design patterns, data structures, and Agile development practices
• Solid problem-solving skills and attention to detail
• Comfortable working independently and in a cross-functional team
• Excellent communication skills

💡 Nice to Have

• Degree in Computer Science, Engineering or similar
• Familiarity with:
  
  • WPF or other modern UI frameworks
  • ASP.NET or similar web frameworks
  • Algorithm design and implementation
  • Linux shell scripting and cross-platform development

Why Join?

• Real-world tech – You’ll work on applications that control mission-critical RF systems used globally
• Cross-functional teams – Work closely with embedded, RF, and hardware engineers
• Onsite + hybrid – Design, dev, and manufacturing are all in-house for fast feedback and rapid iteration
• Ownership and learning – Autonomy to shape features and work across the stack
• Flexible, impactful work – Help deliver tech-for-good used by defence and security customers worldwide