Backend Engineer

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.