Job Description:
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
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