Key skills
AWSDistributed SystemsDockerJavaKafkaKotlinKubernetesMicroservicesMySQLPHPPostgresRabbitMQRedisSQLPostgreSQLDatadogCachingPerformance OptimizationCommunicationCollaboration
About this role
Role Overview
- Own integration with sports feed data providers
- Build and maintain WebSocket clients for real-time odds and event data
- Ingest and normalize data from REST APIs and streaming feeds
- Handle data mapping between providers (teams, players, events, markets)
- Troubleshoot data quality issues and discrepancies across feeds
- Design and maintain Kafka topics and consumer/producer architecture
- Monitor and troubleshoot consumer lag issues
- Optimize message processing for high-volume, real-time data streams
- Manage data flow between microservices (ITC → SBK → Picks)
- Work with Redis for caching and performance optimization
- Maintain and extend the Market Management System
- Build tools for product ops (Retool dashboards)
- Implement market settlement logic
- Handle market limits and configuration management
- Support live market suspension/unsuspension logic
- Ensure 99.9% uptime for critical data pipelines
- Optimize memory consumption and application stability
- Implement monitoring and observability (Datadog)
- Debug production issues across distributed systems
- Participate in on-call rotation
Requirements
- 5+ years backend engineering experience with production systems
- Strong proficiency in Kotlin or Java (we use Kotlin primarily)
- Deep understanding of Kafka (topics, consumers, producers, streaming)
- Experience with distributed systems and event-driven architecture
- SQL and database optimization skills (Mysql, PostgreSQL)
- Ability to debug complex issues across multiple services
- Strong communication skills for cross-team collaboration
- Nice to Have: Experience with PHP (we have some legacy systems)
- WebSocket implementation experience
- Redis for caching at scale
- Real-time data processing and normalization
- Vert.x or similar reactive frameworks
- Sports betting or gaming industry background
- DevOps/infrastructure experience (AWS, Docker, Kubernetes)
- Experience with RabbitMQ
- Retool or similar internal tooling platforms
Tech Stack
- AWS
- Distributed Systems
- Docker
- Java
- Kafka
- Kotlin
- Kubernetes
- Microservices
- MySQL
- PHP
- Postgres
- RabbitMQ
- Redis
- SQL
Benefits
- High Impact: You'll own critical systems that power the entire platform
- Technical Depth: Complex distributed systems, high-volume real-time data, interesting scale challenges
- Ownership: From day one, you'll own significant technical areas
- Growth: We're expanding rapidly—lots of opportunity to grow with the company
- Team: Work with a strong engineering team that values technical excellence
- Remote-First: Work from anywhere in Canada