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# Lead Software Engineer

- **Company:** Faculty
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Python (Programming Language), Software Deployment, Systems Architecture, TypeScript, ReactJS, Delivery Pipeline, Gitlab, Kubernetes, Production Code, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.totaljobs.com/job/lead-software-developer/faculty-job108251589

## About the Role

* You have proven ability to distill complex technical concepts for a wide range of audiences.
 * You bring strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design.
 * You are an expert in Python and TypeScript/React.
 * You possess solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes.
 * You have a demonstrated history of championing automated testing strategies to ensure robust and reliable code.
 * You have a genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value.

## Description

As a Lead Software Engineer, you'll spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable.
This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.

What you'll be doing

 * Acting as the primary technical authority for enterprise clients, guiding projects from discovery to production deployment.
 * Leading and mentoring a squad of engineers, empowering them to deliver their best work.
 * Implementing scalable and future-proof front and backend engineering patterns and practices.
 * Translating complex customer needs and implementation challenges into actionable feedback to shape the next phase of a project.
 * Distilling complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders.