Scala Developer
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Role details
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Job description
We are seeking a dynamic and innovative Scala Developer to join our cutting-edge data engineering team. In this role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and applications using Scala, with a focus on leveraging big data technologies and cloud platforms. Your expertise will drive the transformation of complex data into actionable insights, empowering our organization to make data-driven decisions., * 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
Requirements
Do you have experience in gRPC?, * 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)
- 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
- Strong expertise in JVM internals, memory management, andperformance 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 Terraform and infrastructure-as-code on GCP
- 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 (G1GC, 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
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Paid time off, * 401(k)
- Health insurance
- Paid time off
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