Senior Backend Engineer

Kitman Labs; Greater Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading sports data analytics company in Greater Manchester is seeking a Senior Backend Engineer to design and maintain APIs and data-stores. The ideal candidate will have experience with API development, strong coding standards, and the ability to learn new technologies. This role offers an opportunity to work with innovative data processing pipelines in the sports industry.

Qualifications

• Experience building APIs or as part of a team building dynamic web applications?
• Ability to take on new technologies and languages?
• High standards for software quality and effective QA processes.

Responsibilities

• Design, build, and maintain APIs, services, and data-stores.
• Ensure cross team collaboration to build user-friendly features.
• Debug complex production issues across services.

Skills

API development

Dynamic web applications

Learning new technologies

High-quality code

AWS experience

Tools

Amazon Web Services

Ruby

Job description

Overview

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs’ advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey.

The Role

Senior Backend Engineers are responsible for building the core data-flows of Kitman Labs products. They do this with a focus on security, privacy, robustness and performance. The backend engineering team builds APIs and data processing pipelines that handle massive amounts of data from sports teams all over the globe. In conjunction with our Data Science team they build and maintain data models which embody the cutting edge of injury risk prevention technology. We’re looking for people with a strong background or interest in building successful products. You’ll be happy dealing with systems that involve many moving pieces. New technologies or approaches to solving problems don’t bother you. You are detail oriented but also pragmatic and considered in where you spend time and effort.

Responsibilities

• Design, build, and maintain APIs, services and data-stores.
• Possess a deep understanding of what it takes to maintain high standards of software quality, including effective QA processes, writing high-quality code, following best practices, and adhering to established industry standards. Ensure cross team collaboration by working with our frontend engineers to build features that users love to use.
• Work with our product team to reliably spec out and refine user stories, enabling them to be broken down and quickly delivered to production.
• Confidently debug complex production issues across services and multiple levels of the stack.
• Be focused and able to prioritise tasks and not get distracted by unimportant details.
• Set direction from a technical architecture point of view on projects and make pragmatic decisions if projects need to be redirected or scaled back.

Experience and skills we look for

• Experience building APIs or as part of a team building dynamic web applications.
• Have shown an ability to take on new technologies and languages.
• We work mostly in Ruby but this isn’t a prerequisite, we’re more interested in your ability to learn.
• Hold yourself and others to a high bar.
• Take pride in working on projects through to a successful completion.
• Recognise the value of standardised, fully tested code that is delivered in a CI/CD environment.

Additional skills

• We heavily utilise Amazon Web Services so experience with AWS or similar is a bonus.
• Experience working with AI tools.
• Knowledge of machine learning models.