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# Software Engineer (Mid and Senior Levels)

- **Company:** One Big Circle
- **Location:** Bristol, UK
- **Experience:** Experienced
- **Salary:** £36,000.0 - £70,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Computer Vision, Software Bug Management, C++ (Programming Language), Cloud Computing, Code Review, Continuous Integration, Relational Databases, Database Design, Linux, Programming Tools, Distributed Systems, Linux on Embedded Systems, Embedded Software, FFmpeg, Field-Programmable Gate Array (FPGA), Github, Identity and Access Management, Python (Programming Language), Linux System Administration, Machine Learning, MySQL, Node.Js, NumPy, Object Detection, OpenCV, Performance Tuning, RabbitMQ, Tensorflow, Software Systems, Systems Integration, Pytorch, Reliability of Systems, Backend, Git, Pytest, Containerization, Yocto, Scikit Learn, Build Tools, Code Inspection, Machine Learning Operations, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Data Pipelines, Devsecops, Serverless Computing, Docker, Microservices
- **Published:** July 11, 2026
- **Apply:** https://www.gradsouthwest.com/jobs/apply/ats-redirect/?id=2869968424-2

## About the Role

We have a number of roles available that are suitable for engineers with circa 3+ years of experience from mid level' up to senior. The roles span a number of broad capability areas which describe the kinds of problems we work on. They are not checklists, we recognise that candidates will bring depth in some areas and interest or exposure in others. We encourage interest from applicants with partial or adjacent skills and backgrounds, to fill a number of different roles within each capability area.
Device & Embedded Software Systems
Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing, device-to-cloud pipelines, networking, system integration, hardware/software collaboration, field diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals.
Platform Engineering
Cloud infrastructure, AWS, distributed systems, backend services, RESTful APIs, microservices architecture, service integration, data pipelines, storage systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3), IAM permissions (AWS), DevOps security, CI/CD, CI/CD tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge (Node.js), RabbitMQ, FFMPEG, Linux systems administration
Machine Learning
Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems, + Practical and delivery-focused, balancing engineering rigour with pragmatism

 + Strong communication skills, able to work effectively with multidisciplinary teams
 + Self-motivated and proactive, with a willingness to take ownership of work
 + Comfortable contributing to code reviews and technical discussions
 + Willing to support more junior engineers
 + Keen to grow into greater responsibility for technical direction and project delivery

## Description

As an OBC Software Engineer, you'll be a hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills.
Responsibilities
You will contribute to the development of innovative solutions within a skilled team that likes getting things done:

 + Design, develop, and maintain software solutions
 + Contribute to system design and technical decision-making within the team
 + Collaborate with adjacent teams to achieve system integration
 + Take ownership of features, projects, or technical areas (scope matched to experience)
 + Diagnose and resolve issues with in-service systems and data
 + Contribute to code reviews and help maintain high engineering standards
 + Support continuous improvement of development practices, tooling, and system reliability
Personal Qualities and Experience
We are looking for engineers with a strong foundational skillset, a pragmatic approach to problem solving, and a desire to grow. You should be comfortable working in dynamic and multidisciplinary technical teams.


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