Senior Software Engineer

Summary

Join Kitman Labs, a performance intelligence company transforming the sports industry's use of data, as a Senior Backend Engineer. You will play a pivotal role in rearchitecting our reporting and analytics platform to handle massive datasets. This involves designing scalable data pipelines, implementing pre-calculation strategies, and enabling dynamic custom reporting. You will collaborate with various teams to deliver a robust solution. The position demands deep technical expertise, strategic vision, and strong engineering skills. This is a remote position with the option to work from our Dublin office.

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

Responsibilities

• Drive Architectural Design: Design, build, and maintain a reporting platform that integrates with high volume database technologies (TSDB/OLAP) and provides custom BI capabilities, ensuring scalability, performance, and reliability
• Develop and Optimise Data Pipelines: Create data transformation pipelines to summarise and pre-calculate large volumes of data for efficient querying and reporting
• Ensure High Standards of Quality: Maintain robust testing and CI/CD pipelines, write high-quality and secure code, and implement QA best practices
• Solve Complex Problems: Confidently debug and optimise complex issues across services, data pipelines, and the stack
• Technical Leadership: Provide architectural direction, make pragmatic decisions on technical trade-offs, and mentor team members
• Stakeholder Collaboration: Work closely with the product team to define, refine, and deliver user stories that translate into impactful reporting features

Preferred Qualifications

• Experience with time-series databases (e.g., Amazon Timestream, InfluxDB, TimescaleDB) or scalable analytics platforms
• Knowledge of business intelligence tools (e.g., Power BI, Tableau, or Looker) for custom report development
• Hands-on experience with AWS services for data processing and secure storage, particularly in GovCloud or IL5-compliant environments
• Familiarity with AI/ML tools and workflows, particularly in the context of data analytics and reporting
• Strong understanding of database optimisation, caching strategies, and performance tuning

Benefits

• Competitive salary
• Meaningful equity
• Pension Plan
• Fully paid health insurance for employee & dependants
• Life Assurance
• Wellness Perk
• Flexible workplace with options for office-based, hybrid and remote working