Position Details
About this role
Senior backend engineer to design and implement secure, scalable backend systems for a fraud-detection platform. Build with Node.js and TypeScript on Google Cloud Platform, with Kubernetes and microservices, integrating AI/ML tooling like Vertex AI and Gemini.
Key Responsibilities
- Build and optimize fraud-prevention and device-authentication systems using Node.js and TypeScript
- Develop payment interceptors, high-risk action authentication, and step-up flows
- Integrate backend services with GCP (Spanner, BigQuery, GKE) and containerized environments
- Collaborate with AI/ML systems (Vertex AI, Gemini)
- Contribute to architectural decisions and technical strategy
Technical Overview
Stack includes Node.js, TypeScript, RESTful APIs, Kubernetes, Google Cloud Platform (GKE, BigQuery, Spanner), OAuth2/OIDC, Vertex AI, Gemini, containerized environments, CI/CD; requires security-conscious design and scalable backend architectures.
Ideal Candidate
The ideal candidate is a senior backend engineer proficient with Node.js/TypeScript, deep experience with GCP, Kubernetes, and secure auth patterns; strong in building real-time fraud/detection platforms; comfortable in distributed remote teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with GCP, No Kubernetes experience, No TypeScript/Node.js experience
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