Software Engineer (Scala)
Quantifind
Palo Alto, United States Posted October 31, 2026
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Salary Range
$130,000 - $155,000
Job Description
Join Quantifind, a leading data analytics company, as a Software Engineer on our Platform team. You will be responsible for defining and delivering data services and machine learning infrastructure, processing terabytes of data daily, and working with diverse data sources. Enjoy meaningful equity, flexible hours, and opportunities for professional growth.
- Conception et livraison de services de données et d'infrastructure d'apprentissage automatique.
- Travail sur l'infrastructure Scala de Quantifind pour générer des résultats de signaux de risque à partir de diverses sources de données.
- Collaboration avec des équipes interfonctionnelles, y compris des scientifiques des données, des ingénieurs DevOps, des ingénieurs front-end et des chefs de produit.
- You are proactive in suggesting how to improve the design, performance, and testing of the software that you build
- You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
- You can effectively balance near-term priorities with forward-looking ways to build a sustainable team culture
- 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 care deeply about your work and its impact on the work your team does
- You value the security of a company with a proven business model and enjoy the opportunities a startup offers
- Knowledge of Machine Learning techniques preferred
- You can design and prototype scalable algorithms
- Professional experience writing unit tests and automated integration tests
- Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
- Solid understanding of concurrency and distributed systems
- Understanding of algorithm complexity and performance implications
- Professional experience working with PostgreSQL
- Professional software engineer for 2+ years with a focus on platform engineering
- You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
- BS or MS in Computer Science
- Understanding of JVM internals and 2+ years of relevant experience working with code that runs in a JVM preferred
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Experience with Apache Spark, and/or general MapReduce technologies preferred
- 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
- Professional experience with Scala and/or Java
- Professional experience at a software startup strongly preferred
- Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred
Required Skills
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