Software Engineer

Remote C++ Software Engineer (Permanent)

Build the Systems That Power Real-World Automation

Want to work on software that actually does something tangible? This is an opportunity to build high-performance C++ systems that act as the “brain” behind large-scale warehouse automation — controlling conveyors, robotics, and real-time operations used by major UK brands.

You won’t be writing abstract features or internal tools — your code will directly drive real-world systems operating at scale.

What you’ll be doing

• Designing and developing high-performance C++ applications in a Linux environment
• Building the control and orchestration layer for complex automated systems
• Working on real-time, high-throughput environments, where performance and reliability matter
• Contributing to system architecture and scalable design decisions
• Collaborating with a team of experienced engineers to deliver production-critical software
• Supporting testing, deployment, and bringing systems into live environments

What we’re looking for

• Strong modern C++ skills (C++11/14/17+) with solid fundamentals
• Experience working in Linux or Unix environments
• Good understanding of multithreading, performance, and systems-level development
• A genuine interest in building robust, real-world systems
• Confident communicator who enjoys working in a collaborative engineering team

Nice to have

• Experience in real-time, automation, or high-availability systems
• Exposure to distributed systems or messaging architectures
• Any background in industrial, robotics, or control environments

Why this role?

• ✅ Work on software with real-world impact, not just internal tools
• ✅ Remote-first environment with occasional on-site collaboration
• ✅ Be part of a stable, long-term product team
• ✅ Opportunity to deepen your expertise in high-performance C++ systems

The essentials

• Permanent position
• Remote (UK-based) with occasional travel
• Up to £60,000 salary

Is this you?

If you’re a hands-on C++ engineer who enjoys solving complex problems and building systems that actually run in the real world, this is a great move.

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