Senior Backend Engineer – Quantitative Sports

Role Overview

• Architect and build backend services that operate reliably under intense data and user load
• Reduce system latency and optimize real‑time performance across the pricing pipeline
• Collaborate closely with quantitative developers to integrate models and pricing logic
• Design and maintain ingestion pipelines for multiple live data feeds
• Implement robust testing and monitoring to ensure system resilience
• Build internal tools that support trading, operations, and analytics teams
• Contribute to technical strategy and long‑term platform evolution
• Foster a culture of knowledge sharing and engineering excellence

Requirements

• 8+ years of backend engineering experience
• Deep proficiency in Python for production systems
• Experience with low latency, real time, or high throughput systems
• Background in multi feed ingestion architectures
• Strong understanding of microservices and distributed systems
• Experience deploying and operating systems in AWS
• Familiarity with relational databases (Postgres, MySQL)
• Experience with analytical stores (Snowflake, ClickHouse)
• Strong knowledge of messaging systems (Kafka, RabbitMQ)

Tech Stack

• AWS
• Distributed Systems
• Kafka
• Microservices
• MySQL
• Postgres
• Python
• RabbitMQ

Benefits

• Competitive pay and benefits
• Flexible vacation allowance
• A hybrid / remote working environment
• Startup culture backed by a secure, global brand