Scala Engineer

Key Responsibilities

• Create detailed prompts across Scala/JVM topics and write high-quality reference answers to guide AI learning.
• Evaluate and rank AI responses to improve correctness, safety, performance, and contextual relevance.
• Test AI outputs for inaccuracies, unsafe patterns, and bias; validate reliability across real-world use cases.

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience).
• 4+ years of professional experience building production systems using Scala (backend services, data platforms, or distributed systems).
• Expert-level proficiency in Scala 2.13+ and/or Scala 3, including strong understanding of the type system, implicits/givens, collections, and functional patterns.
• Strong JVM fundamentals: memory model, garbage collection, profiling, performance tuning, and troubleshooting production issues.
• Deep experience with concurrency and effect systems (e.g., cats-effect, ZIO) and/or actor-based systems (Akka/Pekko).
• Experience designing and operating services in distributed environments: microservices, messaging/streaming, retries, idempotency, backpressure, consistency tradeoffs.
• Strong testing practices (ScalaTest, MUnit, property-based testing like ScalaCheck) and comfort with CI/CD workflows.
• Comfortable with build tooling and dependency management (sbt, Maven/Gradle interop), and version control best practices.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Prior experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in Scala/JVM systems.