About This Role
This role is for a Senior Scala Developer to architect, scale, and maintain high-throughput backend services and real-time data processing pipelines for a client. 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.
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
- Develop type-safe REST, gRPC, and GraphQL APIs alongside streaming pipelines that ingest and process high-volume dataset streams
- Lead design discussions, enforce strict functional programming paradigms, write automated unit and property-based tests (ScalaTest, ScalaCheck), and conduct rigorous code reviews
- Collaborate with cloud infrastructure teams to containerize Scala microservices, manage SBT build configurations, and optimize deployment pipelines for Kubernetes
Requirements
- 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
Benefits
- On-time monthly payments with flexible withdrawal options
- Predictable project hours with consistent 8-hour working days
- Up to 24 flex days off per year without losing pay, for full-time positions found through Proxify
