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Senior Scala Engineer

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Description

  • Required Skills
    • 5+ years building backend systems with Scala as your primary language (strong core competency in one not a shallow familiarity in both)
    • Distributed data processing — Apache Spark or equivalent (production usage required, regardless of whether your primary language is Scala or Python)
    • Kafka — event-driven architecture, producers/consumers, production usage
    • AWS — practical experience with EMR, Step Functions, ECS, or Lambda
    • Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes)
    • Solid knowledge of data structures, OOP, and design patterns
    • Good understanding of concurrency and multithreading concepts
    • LLD: modular architecture, clean abstractions, component design
    • API design awareness: RESTful services, backward compatibility
    • Testing strategy: unit, integration, E2E — deliberate approach to coverage
    • Monitoring & observability: logging, metrics, alerting, dashboards in production systems
    • CI/CD pipelines (GitHub / GitLab) and engineering best practices
    • English: Upper Intermediate+ (written and spoken)
    • Nice to Have
    • The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus
    • Java
    • Apache Airflow or similar pipeline orchestration
    • LLM/MCP tooling experience
    • Experience with geospatial/map-related data or large-scale data quality systems
  • Responsibilities:
    • Design and implement scalable backend services and data processing pipelines
    • Contribute to architecture and design discussions with reasoned technical input
    • Own delivery end-to-end: development, testing, performance optimization, and production support readiness
    • Implement and maintain testing practices (Unit, Integration, E2E) for owned components
    • Contribute to monitoring, alerting, and observability of production systems
    • Improve code quality via reviews, automated testing, and engineering best practices
    • Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process
    • Share knowledge and support junior team members' growth

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