Staff Full-Stack Engineer – Analytics for Semiconductors

re-zoo-me

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Qualcomm Global Trading Pte. Ltd. seeks a Staff Full‑Stack Developer to design and deliver scalable big‑data analytic applications for semiconductor product environments.

You will architect end‑to‑end systems, build secure microservices, and craft intuitive front‑ends for yield and quality dashboards. You will work across product, manufacturing, and reliability engineering, applying AI tools to accelerate productivity and automate complex workflows, while communicating tradeoffs to stakeholders

Qualifications

  • 7–10 years of professional full‑stack development experience.
  • Strong backend in Node.js or Python and modern frontend in React/Angular.
  • Experience with SQL/NoSQL databases and cloud deployments on Azure/AWS/GCP.

Responsibilities

  • Architect, design, and develop full‑stack analytics applications for high‑volume data.
  • Build robust backend services, microservices, and APIs for scalable processing.
  • Create front‑end interfaces for data visualization and dashboards.
  • Model data across SQL and NoSQL systems for device, product, and test data.
  • Collaborate with product, test engineering, and IT teams.
  • Leverage AI/LLM tools to accelerate coding, docs, and data analysis.

Skills

Communication
AI tools
Big-data analytics
Problem solving
LLM integration

Education

Bachelor's degree
Master's degree
PhD

Tools

Node.js
Python
React
Angular
PostgreSQL
MySQL
MS SQL
MongoDB
DynamoDB
Redis
Azure
AWS
GCP
Kafka
RabbitMQ
C
C++
Java

Job description

Qualcomm Global Trading Pte. Ltd. seeks a Staff Full‑Stack Developer to design and deliver scalable big‑data analytic applications for semiconductor product environments.

You will architect end‑to‑end systems, build secure microservices, and craft intuitive front‑ends for yield and quality dashboards. You will work across product, manufacturing, and reliability engineering, applying AI tools to accelerate productivity and automate complex workflows, while communicating tradeoffs to stakeholders

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