Senior Backend Engineer

Kitman Labs; Dublin; On-site; EUR 65,000 - 85,000; Full time

Job summary

A performance intelligence company in Dublin is seeking a Senior Backend Engineer to design and build APIs and data processing pipelines. The ideal candidate will have experience in dynamic web applications and a strong interest in learning new technologies. You'll collaborate with teams to ensure high-quality software and maintain robust data systems. This role is central to driving innovation in sports analytics.

Qualifications

• Experience building APIs or dynamic web applications.
• Ability to learn new technologies and languages quickly.
• Experience in delivering high-quality, tested code in a CI/CD environment.

Responsibilities

• Design, build, and maintain APIs, services, and data-stores.
• Ensure high standards of software quality with effective QA processes.
• Debug complex production issues across services.

Skills

API development

Dynamic web applications

Problem-solving

Attention to detail

Learning new technologies

Tools

Ruby

Amazon Web Services (AWS)

Job description

Overview

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential 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 and software designers and engineers. Kitman Labs’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women’s Soccer League and MLS.

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 focussed 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 that would be beneficial

• 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.