Senior Software Engineer (Scala)

• Quantifind is seeking a Senior Software Engineer to work on Quantifind’s Apache Spark pipeline that generates risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more
• You will help define and deliver data services and machine learning infrastructure
• The Platform Team owns the backend that powers the SaaS products we build for our customers. We process terabytes of data each day on our own dedicated Apache Spark clusters
• As a Senior Platform Engineer at Quantifind on our Platform Team in Palo Alto, CA, you will work on Quantifind’s Apache Spark batch infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more

Benefits

• Meaningful equity to full-time employees
• Performance reviews conducted twice per year, with opportunities to advance
• Collaboration across departments - there’s always an opportunity to work on the projects you care most about
• We encourage people to hone their crafts by taking classes and attending conferences
• We pay 95% of your premiums with top medical, dental and vision plans for you and your family, plus other benefits including FSAs and life insurance
• We match employee retirement contributions dollar-for-dollar up to 4% after your first year
• Flexible hours and a flexible vacation policy
• Remote or in-office options

• 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’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 always been a strong critical thinker and know how to problem solve
• 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
• 5+ years working as a professional Software Engineer with a focus on platform engineering
• Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, and Product Managers
• Professional experience at a software startup strongly preferred
• Solid understanding of concurrency and distributed systems
• BS or MS in Computer Science
• Professional experience building software with Scala and/or Java
• Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, Postgres, etc.)
• Experience with Apache Spark, HDFS, Iceberg, Airflow, and/or general MapReduce technologies
• You can design and prototype scalable algorithms
• Professional experience writing unit tests and automated integration tests
• Experience working with code that runs in a JVM
• Deep understanding of algorithm complexity and performance implications
• You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
• 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
• You know how to build and deploy microservices in Kubernetes