Ocean Red
United Kingdom
Senior Software Engineer - Quantitative Trading Systems (C++/FIX)
- C++
- Docker
- Infrastructure As Code
- Kubernetes
AI Summary
Hands-on software engineer to deploy, configure, and support UFORCE’s uncrewed systems in field trials, demonstrations, and customer operations. Diagnose faults across software, hardware, networking, and operational workflows; automate checks and improve system readiness. Requires strong Python/C++ debugging, Linux deployment, networking, and field troubleshooting experience.
Key Highlights
Hands-on field deployment of uncrewed defence systems (vessels, robotics, aircraft, autonomy software).
Diagnose and resolve cross-system faults (software, hardware, networking, sensors, operator workflows).
Automate checks, improve deployment readiness, and bridge gaps between engineering and field operations.
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Key Responsibilities
Deploy, configure, and support UFORCE systems in field trials/demonstrations with limited backup.
Diagnose faults across software, hardware, networking, and operational workflows using structured fault isolation.
Automate checks, validate configurations, and improve deployment readiness through scripting and tooling.
Technical Skills Required
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Nice to Have
Experience with robotics/uncrewed systems, autonomy software, or defence trials.
Edge compute deployment (containers, orchestration, CI/CD, observability).
Familiarity with Docker, Kubernetes, Helm, Ansible, or Terraform.
Job Description
UFORCE exists to make aggression unaffordable.
Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed vessels, ground robotics and aircraft, autonomy software, and the command-and-control layer that operates them together.
About the Role
We’re looking for a Forward Deployed Engineer to make UFORCE systems work reliably in the field. You’ll work alongside engineers, operators and customers during trials, demonstrations, training and deployments, resolving issues and turning field experience into practical improvements.
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