Scala Developer at Fujistu North America

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Job Title: Scala Developer

Experience Required: 10 years

Engagement Type: Fulltime with Fujistu

Work Location: Norristown, PA / San Antonio, TX / Irvine, CA

Salary: $130KPA

End Client: Multiple

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