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
#LI-Hybrid
- 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).
- 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
1 applies
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