NodeJS (Node.js)
Express- Full stack development on cutting edge technology in Fintech domain.
- Ownership of complete backend code.
You should Have :
- Server Side languages knowledge: Node.js and express.js is the first choice, Python, Java
- Server-side programming experience. We prefer ability over experience
- Solid experience working with databases, especially relational DB.
- Solid experience with version control (Git or Bitbucket or SVN).
- B.E. in Computer Science or Graduate/PG degree in Computer Science (this is optional, as we are more interested in your abilities and experience over a paper degree).
- Any experience working with real-time projects in backend with node.js and express.js
Shubham Vishwakarma
Full Stack Developer - Averlon
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About the Role
Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.
The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.
The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.
Responsibilities
API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.
Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.
Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.
Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.
AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.
Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.
Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.
Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.
Requirements
• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.
• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.
• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.
• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.
• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.
• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.
• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.
• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.
Nice to Have
Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.
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A team with decades of domain expertise: Between them, the founders have nearly two decades of experience founding and growing startups and building and selling SaaS products globally.
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How do we work?
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon