At CaliAlfa, we're redefining the future of sports analytics and betting. Our mission is to deliver lightning-fast, data-driven insights and user experiences that feel magical. We do this by combining high-frequency data pipelines, real-time modeling, and robust backend systems—built to handle hundreds of thousands of concurrent users across live Football, Basketball, Baseball, American Football, and more.

We're looking for a Senior Backend Engineer who thrives in dynamic, high-scale environments and wants to shape the core of a product that millions engage with in real time.

What You'll Be Doing:

• Architect and develop scalable, high-performance backend systems with real-time demands.
• Own core microservices, APIs, & data infrastructure that power live sports events & odds engines.
• Work closely with product managers, analysts, and engineers to understand the why—not just the what—behind each feature.
• Bring PRDs to life by challenging assumptions, identifying edge cases, and better solutions.
• Integrate with internal tools and external providers—from payment gateways to data feeds and partner APIs.
• Set the bar for code quality and reliability through testing, automation, and clean design.
• Troubleshoot live issues in real-time systems and ensure uptime during high-traffic events like playoffs and major tournaments.

What You Bring:

• 5+ years of experience building robust, backend applications in production environments.
• Deep knowledge of message brokers (Kafka, RabbitMQ, or similar) event-driven architectures.
• Strong grasp of relational databases (PostgreSQL, MySQL) and practical data modeling.
• A self-starter mentality with a passion for quality and ownership—from idea to production.
• Comfortable leveraging AI coding tools to boost productivity, explore solutions faster, and enhance code quality without compromising craftsmanship.

Bonus Points:

• Strong proficiency in Kotlin, Java, or C#—especially around performance optimization and async design patterns.
• Experience with Redis (for caching, pub/sub, and distributed locks).
• Cloud-native experience with AWS (ECS, Lambda, RDS, etc.).
• A background in high-scale systems handling millions of requests/day in low-latency environments.
• Experience in sports betting, real-time streaming, or marketplace platforms.