Senior Scala Developer

About us:
Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction.
Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.
Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role:
We are looking for a Senior Scala Developer on behalf of our client to architect, scale, and maintain high-throughput backend services and real-time data processing pipelines. In this role, you will take operational ownership of distributed systems that process complex data streams at scale, applying pure functional programming concepts to ensure resilience, concurrency, and sub-millisecond execution.

What we are looking for:

• 3+ years of dedicated, production-grade software development experience using Scala 2.13 or Scala 3, with a strong command of type-level programming, implicits/givens, pattern matching, and generalized algebraic data types (GADTs).
• Extensive hands-on experience using pure functional effect systems such as Cats Effect or ZIO, or actor-based concurrency frameworks like Akka / Apache Pekko.
• Deep understanding of distributed architectures, message brokers, and event streaming platforms—specifically Apache Kafka, RabbitMQ, or Apache Spark.
• Advanced knowledge of memory management, garbage collection, thread pool tuning, and non-blocking asynchronous I/O patterns on the JVM.
• Solid proficiency in relational and NoSQL databases (PostgreSQL, Cassandra) using Scala-native access libraries like Doobie, Quill, Slick, or Skunk.
• Strong daily proficiency with SBT, Docker, Kubernetes, and setting up automated CI/CD deployment pipelines on AWS or GCP.

Nice-to-have:

• Experience migrating legacy Scala 2 codebases to Scala 3.
• Background in high-frequency trading (HFT), FinTech, or large-scale IoT data streaming architectures.
• Experience with Apache Spark for large-scale distributed batch and stream processing.
• Exposure to frontend Scala tooling (Scala.js) or cross-platform compilation.

Responsibilities:

• Design, build, and maintain fault-tolerant microservices and event-driven data pipelines using Scala, Cats Effect/ZIO, and Kafka.
• Profile memory usage and thread allocations to eliminate bottlenecks, ensuring low-latency execution and high fault tolerance under high load.