Senior Software Engineer, Kitman Labs

• We are seeking a Senior Backend Engineer to play a pivotal role in the evolution of our reporting and analytics platform
• This position requires a blend of deep technical expertise, strategic vision, and hands-on engineering skills to ensure the successful delivery of this architecture transformation
• 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

Desirable

• 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
• You’ll collaborate with product managers, engineers, data engineers, data scientists and stakeholders to create a robust, high-performing solution that meets our customers’ evolving reporting needs
• Driving 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