🛠 Tech Stack

💼 About This Role

You'll work on Quantifind's Apache Spark pipeline that generates risk signal results from diverse data sources such as Sanctions, PEP records, and Negative News. You will help define and deliver data services and machine learning infrastructure for a platform that processes terabytes of data daily. This role offers the chance to build scalable microservices for a proven AI-driven SaaS solution fighting financial crime.

🎯 What You'll Do

• Design and build microservices with REST APIs for real-time query engines
• Develop and maintain Apache Spark batch infrastructure for risk signal generation
• Implement ETL pipelines for diverse data streams
• Write unit tests and automated integration tests

📋 Requirements

• 5+ years of professional software engineering experience focusing on platform engineering
• Professional experience building software with Scala and/or Java on JVM
• Experience with Apache Spark, HDFS, Iceberg, Airflow, or MapReduce technologies
• Must be legally authorized to work in the United States without employer sponsorship

✨ Nice to Have

• Professional experience at a software startup
• Familiarity with storage and caching solutions like Memcached, Redis, Postgres

🎁 Benefits & Perks

• 💰 Competitive salary
• 🏢 Company equity
• 🏖️ Flexible vacation
• 🏥 Exceptional benefits package
• 🏦 Employer-matched 401(k)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site (or Virtual) Interviews· 90 min