
11 - 50 employees
🔒 Cybersecurity
🎮 Gaming
💳 Fintech
💰 $18M Series A on 2022-03
Cybersecurity • Gaming • Fintech
nSure. ai is the payment fraud prevention provider of choice for Gaming, Prepaid and Gift Cards, and Crypto. They offer a managed service based on adaptive AI that deploys dedicated models trained on customer data, focusing on behavior patterns to effectively mitigate modern scalable fraud. Their unique approach to fraud detection ensures that customers receive high-efficacy decisions in under 300 ms, boasting approval rates of up to 98% and a chargeback guarantee, which generates zero-risk net incremental profit.
🔥 0 minutes ago
AWS
Azure
Cloud
Google Cloud Platform
JavaScript
Kafka
Kubernetes
Microservices
MongoDB
Node.js
NoSQL
Python
RabbitMQ
Terraform
TypeScript
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11 - 50 employees
🔒 Cybersecurity
🎮 Gaming
💳 Fintech
💰 $18M Series A on 2022-03
Cybersecurity • Gaming • Fintech
nSure. ai is the payment fraud prevention provider of choice for Gaming, Prepaid and Gift Cards, and Crypto. They offer a managed service based on adaptive AI that deploys dedicated models trained on customer data, focusing on behavior patterns to effectively mitigate modern scalable fraud. Their unique approach to fraud detection ensures that customers receive high-efficacy decisions in under 300 ms, boasting approval rates of up to 98% and a chargeback guarantee, which generates zero-risk net incremental profit.
• Design, develop, and optimize backend services in a modern microservices architecture • Build and maintain low-latency APIs that power real-time decisioning • Own services end-to-end, including deployment, monitoring, scalability, and performance in a Kubernetes environment • Improve system reliability, scalability, and security through engineering best practices • Write clean, maintainable, and well-tested code, including unit and integration tests • Collaborate in architecture discussions, influence decisions, and drive technical improvements • Work closely with Data Analysts and Data Scientists to evolve the logic, infrastructure, and performance of fraud-prevention decision-making systems
• BSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience • 4+ years of backend engineering experience • 2+ years of hands-on Node.js experience (TypeScript) • Experience with at least one NoSQL document store (e.g., MongoDB, Couchbase) • Experience designing and implementing RESTful APIs • Experience working with at least one cloud platform (AWS, GCP, or Azure) • Strong testing mindset and experience with automated testing frameworks • A proactive, curious, and problem-solving mindset with a strong sense of ownership • Fluent English (written & spoken) • Nice to have: hands-on experience with at least one streaming or message/event system (Kafka, RabbitMQ, AWS SQS, etc.) • Nice to have: practical experience with DevOps tooling such as Kubernetes, Helm, Terraform, or other infrastructure-as-code solutions • Nice to have: familiarity with Python • Nice to have: familiarity with ML fundamentals (classification, precision/recall, train/test, etc.) • Nice to have: background in payments, fintech, or fraud prevention
• Remote/hybrid work arrangement • Full-time employment
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