nSure.ai

Backend Engineer

Tel Aviv, Israel
Kubernetes Node.js TypeScript Azure Elasticsearch AWS GCP Python Couchbase MongoDB Kafka API Machine Learning
Description

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 real-time, with up to 98% approval rates and a chargeback guarantee, generating zero-risk net incremental profit.

As a Backend Engineer on our core team, you’ll be at the heart of our fraud prevention technology, working closely with Data Analysts and Data Scientists to enhance our core decision-making engine. Your contributions will directly impact the accuracy and speed of our AI-driven fraud detection. You'll design and implement complex backend improvements while ensuring system reliability, uptime, and optimal response times. Additionally, you'll deploy and monitor services in a Kubernetes environment, optimizing performance at scale. If you're excited about tackling high-impact engineering challenges in a fast-paced, data-driven environment, this role is for you!

#Hybrid

Requirements 

  • BA in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 5+ years of experience as a Backend Engineer.
  • 3+ years of hands-on experience with Node.js and TypeScript.
  • Strong proficiency in NoSQL databases (e.g., MongoDB, Elasticsearch, Graph DBs).
  • Experience building and working with event-driven systems (e.g., using Kafka, RabbitMQ, AWS SQS).
  • Experience with RESTful API design and implementation.
  • Solid knowledge of cloud platforms (AWS, GCP, or Azure).
  • Experience with automated testing and unit testing frameworks.
  • Strong problem-solving skills, with a curious mindset and a passion for tackling complex engineering challenges.
  • Strong sense of ownership, taking initiative to improve systems, processes, and overall product performance.
  • High-level English proficiency (written and spoken).

Nice to Have

  • Proficiency in Python.
  • Basic understanding of Machine Learning concepts (Classification/Regression, Train/Test split, Precision/Recall, etc.).
  • Background in fintech, payments, or fraud prevention.
  • Develop and optimize backend services in a microservices-based architecture.
  • Design, implement, and maintain APIs to support low-latency decision making.
  • Deploy, monitor, and manage services in a Kubernetes environment, ensuring reliability and performance.
  • Utilize different storage solutions, including NoSQL databases including Couchbase and AWS Neptune.
  • Continuously improve system scalability, security, and performance, applying best practices in backend development.
  • Write clean, maintainable, and testable code, implementing unit and integration tests.
  • Contribute to team discussions and architectural decisions, driving improvements in process and infrastructure.
nSure.ai
nSure.ai
Artificial Intelligence (AI) FinTech Fraud Detection Machine Learning Security

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