Role Title: Senior Full Stack Engineer – Great Britain Cycling Team Salary: Up to £55,000 per annum (dependent on experience) Contract: Permanent (full-time) Location: The National Cycling Centre, Manchester Start Date: As soon as possible About British Cycling British Cycling exists to bring the joy of cycling to everyone. We have embarked on an exciting new journey, with a modernised commercial and events offering grounded in social impact and storytelling, harnessing the spotlight and inspiration of our athlete’s performance on the world stage, and our growing portfolio of major events. We are working towards our three key priorities outlined in our strategy ; to support and grow the sport to make cycling more inclusive and accessible, to lead on the world stage by winning and winning well, and to drive social impact by tackling inequalities through providing opportunities. Great Britain Cycling Team The Great Britain Cycling Team (GBCT) is the country’s most successful Olympic and Paralympic team in history, with high ambitions to continue this legacy at LA 2028 and beyond. We are a highly driven and motivated team of skilled and passionate individuals working together to support athletes across seven cycling disciplines, to achieve their full potential and deliver world-beating performances on the biggest stages. We work hard to support delivery of British Cycling’s vision which includes striving to inspire Britain to be a great cycling nation and sharing the joy of cycling with everyone. Now is an incredibly exciting year to join the Great Britain Cycling Team, fresh off the back of winning 11 Olympic and 22 Paralympic medals at the most recent Olympic and Paralympic Games in Paris, as well as having recently celebrated 20 years of the GBCT pathway. What will you be doing? While athletes earn the medals, there is a whole Performance Support Team behind them developing new best-in-class equipment, delivering science-based training programmes, and much more. In all aspects of performance support, data is the common thread. As a Senior Full Stack Engineer in GBCT, you will have responsibility for two key components of GB’s success in LA 2028. First, being responsible for developing GBCT.io. GBCT.io is our live performance platform, ingesting real‑time timing, telemetry and environmental data and serving athletes and coaches via a web app. It supports training and competition delivery and requires a dedicated engineer to ensure day‑to‑day reliability, modernise delivery pipelines and work closely with analysts, coaches and practitioners to develop front end features in line with LA performance goals. Second, designing and building resilient data pipelines for practitioners. GBCT collects large volumes of data across multiple environments - Track, BMX, wind tunnel, biomechanics lab, Strength & Conditioning and third‑party platforms. You will be responsible for standardising pipelines, improve data quality and enabling data linkage and system integration to unlock new insight, including longitudinal tracking of athlete trajectories. What we’re looking for: Required skills: Proficiency in at least one modern front-end framework, ideally React. Experience in a backend language, ideally Python, for serverless/service code and data handling with the ability to read and improve existing codebases. Production experience with GCP services (or equivalent infrastructure experience in AWS/Azure), especially Pub/Sub, Cloud Functions/Run and BigQuery. Strong understanding of database technologies (e.g. SQL, NoSQL) Ability to implement and maintain API endpoints powering analysis. CI/CD fundamentals and modern Git workflows with an eagerness to automate currently‑manual deploys. Familiarity of Terraform or equivalent IaC experience. Clear communicator with non‑technical stakeholders (coaches, practitioners). Documentation mindset - you leave the system easier to understand than you found it (runbooks, readmes, diagrams). Ability to work independently and manage multiple tasks effectively. Ability to be on sight at Manchester Velodrome. Nice‑to‑have: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Computer vision / pose estimation familiarity (e.g. working with video‑based or sensor‑based motion‑analysis pipelines). Comfort working with GCP-based ML workloads or integrating machine learning prototypes into existing infrastructure. Working with sport/performance data: timing loops, power/speed/gear telemetry and environmental inputs Agile/Scrum development methodology experience. What are the perks? Competitive Salary Cycle to Work Scheme Generous Holidays (25 days bank holidays) Holiday purchase scheme Life Assurance Pension How to apply Send us your CV and a short cover letter outlining your interest in the role and why you feel you meet the criteria via the apply button below. Applications close: 14th June 2026 Interviews likely: w/c 22nd June 2026