Summary

We are seeking a Full Stack Developer with expertise in building scalable applications, backend integrations, and AI-driven fraud detection systems. The ideal candidate will bring a strong technical foundation, a passion for problem-solving, and practical knowledge of designing secure, high-performance systems.

Location: Remote – core team across Europe & Asia

Working Language: English

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About the project**

Klink is a leading customer acquisition marketplace & offerwall. The platform provides a unique opportunity for its users to earn rewards starting from $0 of personal investment and has already partnered with some of the leading companies in web2 & web3 spaces, including Binance, Uber, Amazon Prime and Coinbase.

The company is backed by top-tier VCs in the US & Asia

Tasks

What You’ll Do

1. Application Development: Design and develop scalable, user-friendly applications (frontend & backend).
2. Query-Based Services: Build and optimize high-performance query-based services for analytics and reporting.
3. API Integrations: Design, integrate, and maintain RESTful/GraphQL APIs with third-party services and internal platforms.
4. Implement fraud detection systems using ML models, anomaly detection, and rule-based engines.
5. Develop agent-based monitoring for real-time transaction checks.
6. Database Engineering: Architect and manage relational & NoSQL databases, with a focus on query optimization.
7. Security Engineering: Apply best practices in data security, identity management, and compliance.
8. AI & Automation: Using AI models automate the developing process and monitoring things.
9. System Reliability: Monitor, debug, and improve applications for speed, scalability, and reliability.
10. Cross-Team Collaboration: Work closely with product, design, and security teams for feature rollouts.

Requirements

Must-Have:

1. Strong experience in JavaScript/TypeScript (Node.js, React/Next.js or equivalent).
2. Experience in REST/GraphQL API development & integrations.
3. Strong knowledge of databases (PostgreSQL, MongoDB, or similar).
4. Prior work with fraud detection, anomaly detection, or ML-driven systems.
5. Cloud deployment experience (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
6. Strong problem-solving, debugging, and performance optimization skills.

Nice-to-Have:

1. Knowledge of stream processing (Kafka, Kinesis,RabbitMq).
2. Familiarity with real-time transaction monitoring.
3. Experience in DevOps, CI/CD, and observability tools (Grafana, Datadog, etc.).
4. Background in fintech/payments/e-commerce fraud systems.

Skills

• Communications Skills
• Database Management
• Development
• Problem Solving
• Software Engineering
• SQL
• Team Collaboration