Senior Back-End Engineer, Node.js

Cross River

full-time

Posted on: 9/30/2025

Location Type: Hybrid

Location: Jerusalem • 🇮🇱 Israel

✨ AI Apply

Senior

AWSCloudDynamoDBGraphQLJavaScriptMicroservicesNode.jsPostgresRayTerraformTypeScript

About the role

Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features (chat, summarization, 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 (Aurora pgvector, Pinecone, Chroma) for 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

Available working some US hours
Proficient in Hebrew and English both written and verbal (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 (Amazon Bedrock, OpenAI API)
Experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots
Hands‑on with vector databases (Pinecone, Chroma, pgvector on Postgres/Aurora)
AWS certification (Developer, Solutions Architect, or Machine Learning Specialty)
Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads
Strong understanding of RESTful design, GraphQL fundamentals, and event‑driven architectures (SNS/SQS, EventBridge)
Proficiency with infrastructure‑as‑code (AWS CDK, Terraform, CloudFormation) and CI/CD pipelines (GitHub Actions, AWS CodePipeline)
Familiarity with secure coding, authentication/authorization patterns (Cognito, OAuth), and data privacy best practices for AI workloads
Background in microservices, domain‑driven design, or event‑sourcing patterns

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

Node.jsTypeScriptAWSLambdaAPI GatewayDynamoDBECSFargateGraphQLREST

collaborationcommunicationagile methodologyknowledge sharingbest practices

AWS DeveloperAWS Solutions ArchitectAWS Machine Learning Specialty