Senior Scala Developer

Our team is developing a high-load, transaction processing platform handling over 605 million transactions daily, with rapid growth. The project is being built from scratch using the latest technology stack, with a focus on dynamically scalable microservices and clustered architecture. We are dedicated to TDD and Agile methodologies and are seeking a skilled Scala Developer with a passion for precision and best practices.

About our product:
The platform is built on an event-sourcing approach, featuring a dynamically scalable microservices architecture with a cluster-based deployment. Designed with a strong focus on high availability and partition tolerance to ensure resilience, real-time processing, and seamless scalability for complex transaction flows.

Tech stack:
Application Development: Scala, Akka(Clustering, Sharding, Persistence, Distributed Data), Play.
Data Streaming and Storage: Apache Kafka, Cassandra(multi-DC), Amazon S3.
Build and Continuous Integration: SBT, GitLab CI.
Container Orchestration: Kubernetes.

About your key responsibilities and impact:

• Delivering reliable and maintainable software, emphasizing solid design principles and thorough code reviews;
• Designing and implementing new features for a high-load transaction processing platform;
• Continuously improving and optimizing existing systems and processes;
• Collaborating across teams to deliver cohesive, end-to-end solutions;
• Contributing to the platform’s architecture and scalability in a cloud environment;
• Designing, developing, and deploying microservices within an Agile framework.

Essential professional and personal skills:

• 3+ years of experience with Scala;
• 5+ years of experience with Java;
• Strong knowledge of Scala and its ecosystem (e.g., sbt, Akka, Play Framework);
• Familiarity with Agile methodologies and functional programming principles;
• Understanding how the JVM, JDK/JRE, and accompanying technologies work;
• Proficiency in database technologies (SQL and NoSQL) and hands-on experience with Kafka;
• Collaborative mindset and fast learner.

Nice to Have:

• Familiarity with Kubernetes and Docker;
• Experience with Cassandra or other column-family databases;
• Understanding of CI/CD tools and methodologies;
• CDC, event sourcing;
• Experience with distributed systems.