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Senior Software Engineer (Scala)

Quantifind · Palo Alto, United States

External listingfull-time2 months ago

About The Role

Join Quantifind, a leading company in the fight against financial crimes. As a Senior Software Engineer, you will work on our Apache Spark pipeline, helping to define and deliver data services and machine learning infrastructure. You will be part of our Platform Team, which owns the backend that powers our SaaS products. This is a remote or in-office position based in Palo Alto, CA.

  • Contribuir al desarrollo y entrega de servicios de datos e infraestructura de aprendizaje automático en la plataforma de Quantifind.
  • Trabajar en la infraestructura de lotes de Apache Spark de Quantifind para generar resultados de señales de riesgo a partir de diversas fuentes de datos.
  • Colaborar con equipos multifuncionales, incluidos científicos de datos, ingenieros de DevOps y gerentes de producto, para promover una cultura centrada en el cliente.
  • You care deeply about your work and its impact on the work your team does
  • You hold yourself to a high standard when it comes to writing clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform
  • You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
  • You are constantly being proactive in finding new ways to improve the design, performance, and testing of the software that you build
  • You can effectively juggle immediate competing priorities while taking the long view to figure out how to build a bigger and better company and culture. You value the security of a company with a proven business model and enjoy the opportunities a startup offers
  • You have always been a strong critical thinker and know how to problem solve
  • You’re looking to explore a client-facing role at the intersection of software and consulting. You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions helping them identify financial crimes
  • You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations. You are comfortable working closely with Sales, Product and Technology teams to promote a Customer Centric culture
  • You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights
  • You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team
  • BS or MS in Computer Science
  • 5+ years working as a professional Software Engineer with a focus on platform engineering
  • Professional experience building software with Scala and/or Java
  • Professional experience at a software startup strongly preferred
  • Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, and Product Managers
  • Solid understanding of concurrency and distributed systems
  • Experience working with code that runs in a JVM
  • Experience with Apache Spark, HDFS, Iceberg, Airflow, and/or general MapReduce technologies
  • Professional experience writing unit tests and automated integration tests
  • Deep understanding of algorithm complexity and performance implications
  • You can design and prototype scalable algorithms
  • You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
  • Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, Postgres, etc.)
  • You know how to build and deploy microservices in Kubernetes
  • Familiarity with Machine Learning techniques
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • You can build microservices with REST APIs for real-time query engines and web crawlers
  • You know how to set up ETL pipelines for data streams

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