Software Engineer - Fraud

We are looking for software engineers with a proven track record in building scalable, reliable and performant systems for Fraud. You will play a critical role in building financial and crypto-native products, services and APIs. As a Back-End Engineer you will be participating in technical discussions and making a positive impact on the team's development by advocating the best engineering practices.

• →You will be part of the Brokerage - Fraud team who actively enhance blockchain.com’s fraud prevention.
• →Fraud engineers build fraud prevention mechanisms in conjunction with our data science team for our payment rails by using our internal services together with our partners (SardineAI and Sift)
• →Work with our risk, compliance teams including our providers to resolve customer issues
• →Advocate best practices, code quality, test coverage and drive technical discussions
• →Optimise existing systems for scalability, extensibility and performance whilst building out reusable, modular code for use across Blockchain’s products
• →Ensure security is at the forefront of everything you do, employing advanced encryption schemes to secure user and company data
• →Work within interdisciplinary teams to continually deliver the highest quality software to our users

• →You know at least one programming language in depth
• →You have at least 3 - 5+ years experience building and shipping highly-available, fault tolerant, production ready distributed backend systems
• →You have experience in any JVM based languages (such as Java, Kotlin, Scala) and are confident in your ability to build, debug and ship microservices
• →You are customer focused and continuously suggest how the backend can provide the best Customer Experience
• →You pride yourself on consistent high levels of test coverage, strong technical documentation and effective monitoring
• →We use Kotlin, PostgreSQL, Kafka, Redis, Datadog, Amplitude, Grafana, BigQuery, ApacheSpark and more
• →A passion for crypto and the transformations it enables

• SardineAI or Sift experience
• Working with Data science and Analysts
• Understanding of fraud models and workflows