Senior Software Engineer - Reporting

December 31, 2024

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Kitman Labs

WebsiteLinkedInAll Job Openings

Sports Science • Sports Analytics and Insights • Injury Prevention • Athlete Optimization Systems • Software Services for Professional Sports Teams

51 - 200 employees

⚽ Sports

🤖 Artificial Intelligence

💰 Series C on 2021-11

Description

• 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. • We are seeking a Senior Backend Engineer to play a pivotal role in the evolution of our reporting and analytics platform. • This critical project involves rearchitecting our existing system to leverage a modern reporting paradigm and introduce technologies that will allow us to scale reporting to large data sets (300 million data points per customer). • As a senior engineer, you will play a key role in designing scalable data pipelines, implementing pre-calculation strategies, and enabling dynamic custom reporting capabilities for our clients. • This position requires a blend of deep technical expertise, strategic vision, and hands-on engineering skills.

Requirements

• Proven Experience in Data-Intensive Systems: Strong track record in designing and building reporting systems, including data pipelines, TSDB/OLAP, or similar architectures. • Expertise in Backend Development: Experience building APIs and services, preferably in Ruby, but open to other languages with the ability to quickly learn new ones. • Data Engineering Knowledge: Familiarity with ETL pipelines, data modelling, and pre-aggregation techniques to handle large datasets. • Analytical Thinking: Ability to debug, optimise, and solve problems across complex systems and services. • CI/CD and Testing: Deep understanding of CI/CD pipelines and testing frameworks to ensure the reliable delivery of high-quality software. • Leadership and Collaboration: Experience guiding technical projects, mentoring engineers, and collaborating across teams.

Benefits

• Competitive salary • Health insurance for employee & dependants • Meaningful equity • Pension Plan • Life Cover • Income protection • Wellbeing benefits