Job Description

Summary

Job Description

The Compliance Engineering team builds high-scale analysis and visualizations systems in order to find and stop criminal activity and other bad behavior in billions of dollars of person to person, merchant, and Bitcoin transactions across the globe. We design solutions and ship code with the customer-centric focus of a product organization, serving Block Compliance's financial crimes operations. Preventing known bad agents from interacting on our service reduces the chance that they negatively impact our users and upend their lives, feeding into Block's mission to bring economic empowerment to all. This role is for the Audit Engineering team, which builds tools to help us verify both Cash and Square products are doing the necessary steps to prevent known bad agents from their platforms.

You Will:

  1. Work with Cash App and Square feature teams and support launches by building tooling to expose misuse by bad actors
  2. Create amazing data exploration and criminal case management tools for Block's Compliance organization
  3. Write and deploy code across all of Block's ever-evolving architecture
  4. Develop and support our tools as products, with a focus on elegant solutions, usability, and our customer needs
  5. Build our own platform of services and data pipelines, architected for scale
  6. Design to anticipate the future

Qualifications

About You:

  1. Excited to work on fintech, machine learning, or preventing financial crimes
  2. Enjoy directly collaborating with stakeholder teams
  3. Have an iterative approach to MVPs and shipping

Technologies we use and teach:

  1. Kotlin
  2. Event-driven and microservice architectures
  3. Both relational and garden variety wide column NoSQL databases
  4. You have:
  5. 5+ years of industry experience or equivalent doing full stack software development
  6. Kotlin, Java, or object oriented software development experience
  7. Experience with observability, data engineering, or metric development at scale.
  8. Worked on distributed systems where data consistency at scale is required

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $163,600 - USD $245,400

Zone B: USD $155,400 - USD $233,200

Zone C: USD $147,300 - USD $220,900

Zone D: USD $139,000 - USD $208,600

Skills
  • Database Management
  • Development
  • Java
  • Machine Learning
  • SQL
  • Team Collaboration
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