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# Remote Senior Software Engineer

- **Company:** Faculty AI
- **Location:** Stockport, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C Sharp (Programming Language), C++ (Programming Language), Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Software Engineering, Backend, Gitlab-ci, Kubernetes, Bare Metal, Docker, Golang
- **Published:** June 25, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-senior-software-engineer-stockport-manchester/2837973954-2/

## About the Role

* You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design.
 * You have a proven track record of shipping code used by paying customers in both Python and a compiled language.
 * You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments.
 * You bring experience with agentic software development and a passion for understanding and solving complex customer problems.
 * You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output.
 * You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions.

## Description

As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You'll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring.

Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment.

What you'll be doing:

 * Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains.
 * Scoping and executing bounded technical problems to ensure high-velocity delivery.
 * Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java.
 * Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal.
 * Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work.
 * Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling.


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