Senior Software Engineer
Kitman Labs
πRemote - United Kingdom
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Job highlights
Summary
Join Kitman Labs, a global human performance company, as a Senior Backend Engineer. You will play a pivotal role in rearchitecting our reporting and analytics platform to handle large datasets. This involves designing scalable data pipelines, implementing pre-calculation strategies, and enabling dynamic custom reporting. You will collaborate with various teams and stakeholders to deliver a robust solution. The position requires deep technical expertise, strategic vision, and hands-on engineering skills. This role offers remote work flexibility with occasional in-person meetings.
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
- Health insurance for employee & dependants
- Meaningful equity
- Pension Plan
- Life Cover
- Income protection
- Wellbeing benefits
- Remote work
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