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# Remote Lead Software Engineer

- **Company:** Faculty AI
- **Location:** Dundee, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, Systems Architecture, Backend, Gitlab-ci, Kubernetes, Bare Metal, Docker
- **Published:** June 24, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-lead-software-engineer-dundee/2835639630-2/

## About the Role

* You have extensive experience in application development and a deep understanding of modern system architecture and design patterns.
 * You are proficient in Python and at least one compiled language, with a proven track record of shipping code to paying customers.
 * You bring a leadership mindset, with the ability to empower engineers and foster a culture of technical excellence.
 * You possess strong hands-on experience with DevOps tools, including GitLab CI/CD, Docker, and deployment on bare metal or Kubernetes.
 * You are a compelling communicator who can build trusted relationships with client-side engineers and senior business leaders.
 * You thrive in ambitious environments and are passionate about solving real-world problems with immediate impact.

## Description

As a Lead Software Engineer, you will spearhead our backend and edge/IoT engineering for high-stakes Defence projects, implementing patterns and practices that are both scalable and future-proof. You will bridge the gap between proof-of-concept and robust systems, raising the engineering bar across your team and the wider business unit.

Acting as both a technical authority and a mentor, you'll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment.

What you'll be doing:

 * Leading and mentoring a dedicated squad of engineers to ensure the delivery of high-quality, scalable software.
 * Designing and building complex components of client deliverables across backend and edge/IoT domains.
 * Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes.
 * Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go.
 * Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures.
 * Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.


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