We are seeking a highly skilled and experienced Senior Scala Engineer to join our team and work on our core Betting Engine. This critical platform processes millions of transactions in real time, ensuring reliability, scalability, and accuracy for our users. As a Senior Scala Engineer, you will play a key role in designing and building robust backend systems that drive our betting operations. 

This role will be hybrid, in the Jersey City office 3 times per week. Candidates also must be willing to travel on-site to complete onboarding orientation as dictated by the hiring team.

What You Will Do:

Design, develop, and maintain scalable and high-performance systems using Scala. Optimize performance for low-latency, high-throughput systems to support real-time betting operations. Collaborate with architects and stakeholders to define technical solutions and system architectures. Ensure the betting engine meets strict standards for reliability, scalability, and fault tolerance. Work with distributed data systems to process and analyze betting data in real time. Design and implement robust caching and storage mechanisms for high availability. Partner with cross-functional teams, including Product, QA, and DevOps, to deliver features end-to-end. Support reporting capabilities and requirements as required. Mentor junior engineers and contribute to team development through code reviews and knowledge sharing. Identify opportunities to enhance system performance and stability. Stay updated on industry trends and technologies to maintain a competitive edge. 

 

Requirements:

5+ years of experience in backend development, with at least 3 years working with Scala in production. Strong knowledge of functional programming principles and practices. Experience with real-time systems, high-throughput APIs, and low-latency data processing. Familiarity with distributed systems, microservices architecture, and message queues (e.g., Kafka, RabbitMQ). Proficiency in working with databases, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, Redis). Hands-on experience with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes). Strong problem-solving skills with a focus on delivering clean, maintainable code.