Scala Developer

Key Responsibilities: * Design and develop scalable distributed systems using Scala for high- throughput backend services

• Build and maintain large-scale data processing pipelines using Apache Spark in production environments

• Develop real-time and batch data processing workflows including Spark Structured Streaming solutions

• Design and implement cloud-native applications deployed on Google Cloud Platform

• Build event-driven architectures using messaging and streaming systems

• Develop frontend applications using functional reactive UI architecture with Laminar

• Implement shared type-safe models across backend and frontend systems

• Optimize system performance across JVM, Spark, and distributed compute layers

• Work on Kubernetes-based deployments and containerized microservices architecture

• Collaborate with platform, data engineering, and infrastructure teams on system design and scaling

• Perform debugging, performance tuning, and production support for distributed systems

• Contribute to architecture decisions for high-scale, low-latency data platforms

Required Technical Expertise

• 10+ years of software engineering experience

• 6+ years of production experience with Scala

• 6+ years of hands-on experience with Apache Spark using Scala (PySpark-only profiles will not be considered)

• Strong expertise in JVM internals, memory management, and performance tuning

• Deep understanding of functional programming principles (immutability, higher-order functions, monads)

• Strong experience in concurrent and distributed system design

• Strong experience with Spark Structured Streaming

• Deep understanding of Spark internals (Catalyst optimizer, Tungsten execution engine)

• Experience handling multi-terabyte distributed workloads

• Strong knowledge of columnar data formats (Parquet, Avro, ORC)

• Experience with Delta Lake or Apache Iceberg (preferred)

• Experience with event streaming systems such as Apache Kafka

• Strong production experience on Google Cloud Platform

• Hands-on experience with Google Kubernetes Engine, Dataproc, BigQuery, Pub/Sub, Cloud Storage

• Experience with Terraform and infrastructure-as-code on Google Cloud Platform

• Strong Kubernetes and container orchestration experience

• Production experience building UIs using functional reactive programming with Laminar

• Strong understanding of FRP (Functional Reactive Programming), Reactive streams and event-driven UI design

• Experience building complex single-page applications using Laminar

• Experience designing shared domain models between frontend and backend

• Experience integrating frontend UI with REST/gRPC backend services

• Knowledge of SBT multi-module builds for frontend-backend shared codebases

• Understanding of type-safe frontend architecture patterns in Scala ecosystem

• Experience with UI state management in functional programming style

• Experience with Akka clustered systems

• Strong understanding of Event sourcing, CQRS architecture, eventually consistent systems, CAP theorem trade-offs

• Experience designing fault-tolerant distributed systems

• Experience with microservices architecture at scale

• Experience with Cats Effect, ZIO, FS2, Monix

• Advanced functional programming design patterns

• Tagless-final architecture (preferred)

• JVM garbage collection tuning (G1 ZGC)

• Spark job optimization and cluster tuning

• Linux system-level performance troubleshooting

• Distributed system resource optimization

• Scala 3 experience

• Monocle optics library

• GraalVM native image compilation

• Internal platform dashboard development using Laminar

• Open-source Scala ecosystem contributions

• Real-time observability systems