
Java Full Stack Engineer
Prudent Technologies and Consulting
6m ago • Remote
Senior
Remote
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Quick Facts
Role: Java Full Stack Engineer
Work model: Remote (US & Canada)
Employment: Contract / Full-Time / Contract-to-Hire
Description
Build and ship production-grade software end-to-end, owning features across frontend and backend. Work with TypeScript/React and Node.js/NestJS services, implementing GraphQL APIs and integrating identity, data, and event-driven components.
Responsibilities
Develop modular, tested backend services using Node.js and NestJS
Build frontend features with React and TypeScript (component architecture, state management, hooks, performance)
Design and implement GraphQL schemas, resolvers, and subscriptions; use Apollo client/server
Apply API gateway patterns (e.g., Apigee or equivalent)
Optimize PostgreSQL schema and queries
Integrate authentication via Auth0 (or equivalent)
Implement event-driven/message-queue patterns using Redis and Kafka (or similar)
Requirements
10+ years of professional software engineering experience shipping production-grade products end-to-end
Strong TypeScript/React skills (component architecture, state management, hooks, performance)
Backend experience with Node.js and NestJS building modular, tested services
GraphQL experience (schema design, resolvers, subscriptions, Apollo client/server)
Familiarity with API gateway patterns (Apigee or equivalent)
Proficiency with PostgreSQL (query optimization, schema design, TypeORM/Prisma)
Experience with Auth0 (or equivalent identity platforms)
Familiarity with Redis and Kafka (or similar) for event-driven/message-queue patterns
Benefits
Remote opportunity covering US & Canada
Contract, full-time, or contract-to-hire engagement options
Preferred (Not Mandatory)
Production experience with OpenAI/Google Gemini or other LLM APIs (prompt engineering, rate limiting, fallback handling, cost management)
Strong architectural thinking and clear technical communication; high autonomy and end-to-end ownership
Neo4j or other graph database experience
Snowflake/data warehouse experience with dbt or Airflow
Optimizely or similar experimentation/feature-management platforms
Salesforce integration experience
AWS experience (ECS, RDS, Lambda, S3, CloudWatch)
Docker, Kubernetes, or Terraform
Testing with Vitest, Jest, or Playwright (unit, integration, e2e)
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