Cross River
Banking • Fintech • SaaS
Cross River is a leading technology-focused financial company that provides API-driven banking infrastructure. They enable a wide range of financial services, leveraging partnerships with major payment networks like Visa, Mastercard, and American Express to offer card issuing solutions. Cross River supports innovation in financial services through a variety of products, including infrastructure for banks, digital lending solutions, faster payments like FedNow® and RTP®, and card and account programs for credit and debit. Their solutions cater to numerous sectors, redefining financial services with compliance-integrated solutions, serving neobanks, digital lenders, and various institutional credit investors.
Back-End Senior Engineer Node.js @ Cross River
Job not on LinkedIn
August 17
🗣️🇮🇱 Hebrew Required
Apollo
AWS
Cloud
Docker
DynamoDB
GraphQL
JavaScript
Microservices
Node.js
Postgres
Ray
Redis
SQL
Terraform
TypeScript
Cross River
Banking • Fintech • SaaS
Cross River is a leading technology-focused financial company that provides API-driven banking infrastructure. They enable a wide range of financial services, leveraging partnerships with major payment networks like Visa, Mastercard, and American Express to offer card issuing solutions. Cross River supports innovation in financial services through a variety of products, including infrastructure for banks, digital lending solutions, faster payments like FedNow® and RTP®, and card and account programs for credit and debit. Their solutions cater to numerous sectors, redefining financial services with compliance-integrated solutions, serving neobanks, digital lenders, and various institutional credit investors.
📋 Description
• Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features such as chat, summarization, and content generation. • Build and maintain AWS‑native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions. • Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self‑hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval‑Augmented Generation (RAG) pipelines. • Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline. • Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints. • Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions. • Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.
🎯 Requirements
• Available working some US hours • Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must • 4+ years professional experience building production services with Node.js/TypeScript. • 3+ years hands-on with AWS, including Lambda, API Gateway, DynamoDB, and at least one container service (ECS, EKS, or Fargate). • Experience integrating third-party or cloud-native LLM services (e.g., Amazon Bedrock, OpenAI API) into production systems. • Strong understanding of RESTful design, GraphQL fundamentals, and event-driven architectures (SNS/SQS, EventBridge). • Proficiency with infrastructure-as-code (AWS CDK, Terraform, or CloudFormation) and CI/CD pipelines. • Familiarity with secure coding, authentication/authorization patterns (Cognito, OAuth), and data privacy best practices for AI workloads.
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