nSure.ai is the payment fraud prevention provider of choice for Gaming, Prepaid and Gift Cards, and Crypto. We offer a managed service based on adaptive AI that deploys, for each customer, a dedicated model trained on their data. Focusing on behavior patterns - the most accurate and uniquely effective way to mitigate modern scalable fraud - our solution takes a fundamentally different approach to detecting fraud and preventing it from happening. Our customers benefit from the highest-efficacy decisions delivered in under 300 ms, with up to 98% approval rates and a chargeback guarantee, generating zero-risk net incremental profit.

As Backend Engineer in the core team, you will handle various aspects of development including adding features in a microservices environment, develop the SaaS API, develop the backend of an application server ,deploy and monitor services as part of Kubernetes cluster and more.

#Full-Time-Position

Requirements:

• BA in computer science or similar relevant field or equivalent relevant background
• 4+ years of experience as a Backend Engineer
• Experience with Node.js / Go / Scala / Python
• Strong proficiency with JavaScript - Advantage
• Significant experience working with NoSql DBs Document stores, Elasticsearch, graph DBs)
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent understanding of RESTful APIs
• Experience with cloud technologies (AWS / GCP / Azure)
• Understanding fundamental design principles behind a scalable application
• Implementing automated testing platforms and unit tests
• High level English - speaking and writing
• Advantage: Basic understanding of Machine Learning concepts (Classification/Regression, Train/Test split, Precision/Recall, etc).
  
  

Responsibilities:

• Work as part of a team developing applications and services using agile development methods
• Contribute to team and organizational improvements in process and infrastructure
• Code, test and operate Node.js based services and stacks
• Monitor production systems to ensure smooth operation and problems early detection
• Integration of data storage solutions including Couchbase DB, AWS Neptune etc.
• Work in AWS cloud utilizing its services