Full Stack Developer (Backend Developer (Node.js/TypeScript)

BLUE OCEAN SYSTEMS INFOTECH PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

BLUE OCEAN SYSTEMS INFOTECH PTE. LTD. is hiring a backend-focused engineer who can own services end to end in production.

Strong Node.js/TypeScript experience; occasional frontend work in React when the ticket calls for it. You will design robust APIs with authentication patterns (OAuth), contribute to observability with logging, tracing and metrics (OpenTelemetry preferred), and help make sound architectural decisions in a small, fast-moving team.

Qualifications

• Strong backend experience with Node.js/TypeScript; own services in production.
• Frontend ability in React when needed; primary backend strength.
• Solid API design with OAuth/authorization patterns.
• Observability mindset: logging, tracing, metrics; OpenTelemetry preferable.
• Familiar with LLM agent systems and sound architectural decisions.
• Comfortable with ambiguity; small team, you shape how to build.

Responsibilities

• Own services end to end in production.
• Architectural decisions in AI agents domain.
• Balance frontend and backend work as needed.
• Tackle ambiguity in a small team.

Skills

Backend Node.js

TypeScript

Frontend React

API design

OAuth

Observability

OpenTelemetry

LLM agent systems

Architectural decisions

Ambiguity tolerance

Tools

LangChain

AWS

GOOGLE ADK

MCP

A2A

Job description

Urgent hiring

• Strong backend engineeringexperience in Node.js / TypeScript. Track record of owning services end to endin production — not just shipping features to a spec.
• Comfortable across the stack.Able to pick up frontend work in React when the ticket calls for it, even ifbackend is your primary strength.
• Solid API design skills.Familiar with authentication and authorisation patterns (OAuth and similar) andproduction debugging.
• Familiarity with observabilitypractices — logging, tracing, metrics. OpenTelemetry or equivalent experiencepreferred.
• Conceptual fluency with LLMagent systems: tool calling, context windows, streaming, non-determinism.Enough to make sound architectural decisions in this domain. No ML or modeltraining background required.
• Comfortable with ambiguity.This team is small. You will often decide how something should be built, notjust execute a spec.

Nice-to-have

• Hands-on experience with agentframeworks or protocols (LangChain, Google ADK, MCP, A2A, or similar).
• Cloud infrastructure experience(AWS).
• Background in platform ordeveloper-tooling engineering — building for other engineers as your primarycustomer.
• Interest in AI security: promptinjection, guardrails, and safe agent execution are real parts of this backlog.