Design and build scalable pricing infrastructure, including pricing engines, rule frameworks, and supporting APIs.
Build and maintain data pipelines and operational data models that power pricing logic, experimentation, and analytics.
Develop systems for capturing, processing, and serving pricing data across internal and external platforms.
Work closely with Pricing/Data Scientist to productionise machine learning models, including feature pipelines, deployment workflows, and monitoring.
Ensure pricing systems are reliable, observable, and fully automated, with strong CI/CD, testing, and monitoring practices.
Implement scalable solutions that avoid technical debt and support long-term platform architecture.

5+ years of backend engineering experience building production systems, ideally in marketplaces, platforms, or pricing-driven environments.
Expertise in PHP and the Laravel ecosystem, with a focus on building secure, performant backend services for complex pricing or logic-heavy applications.
Strong Python and SQL skills, with experience building data pipelines, backend services, and operational data models.
Experience designing scalable APIs and data capture systems that support configuration-driven or rule-based logic.
Experience productionising machine learning models in collaboration with Data Science teams (feature pipelines, deployment, monitoring, retraining workflows).
Strong understanding of cloud infrastructure, CI/CD pipelines, and automated testing.
Experience building revenue-critical systems with strong observability and monitoring.
Ability to take a first-principles approach to system design, thinking deeply about architecture, scalability, and long-term maintainability.
(Nice to haves)
Experience building pricing engines, experimentation platforms, or optimisation systems.
Experience working with marketplace or dynamic pricing environments.
Familiarity with modern data stacks and orchestration tools.

Senior Revenue Engineer

Key skills