Senior Full‑Stack Developer

About the role

We are seeking a Senior Full‑Stack Developer to support advanced engineering and analytics initiatives within a semiconductor product environment. The successful candidate will design and deliver scalable big‑data analytic applications used across product, manufacturing, quality, and reliability engineering workflows.

Key responsibilities

• Architect, design, and develop full‑stack systems for high‑volume data and analytics applications supporting semiconductor product and operations teams.
• Build robust backend services, microservices, and APIs to enable secure, scalable processing of engineering and manufacturing datasets.
• Develop user‑centric front‑end interfaces for data visualization, yield/quality dashboards, and analytic workflows.
• Design and optimize data models across SQL and NoSQL platforms used for device, product, and test data.
• Collaborate closely with cross‑functional partners including product and test engineering and IT teams.
• Leverage AI/LLM‑based tools for code acceleration, documentation, data analysis, and synthesis of engineering discussions.
• Communicate design decisions, trade‑offs, and architectural recommendations to both technical and non‑technical stakeholders.
• Contribute to agentic AI application design, including autonomous data processing agents and LLM‑tool integrations.

Required profile

• 7–10 years of professional full‑stack development experience.
• Strong backend expertise in Node.js and/or Python.
• Proficiency with modern front‑end frameworks such as React and Angular.
• Solid understanding of big‑data system architecture, distributed computing, and data pipelines.
• Hands‑on experience with SQL databases (PostgreSQL, MySQL, MS SQL) and NoSQL systems (MongoDB, DynamoDB, Redis).
• Experience deploying applications on cloud platforms (Azure, AWS, or GCP).
• Demonstrated use of AI tools to enhance software engineering output and analytics velocity.
• Excellent communication skills for explaining complex concepts to cross‑functional teams.

Required skills

• Node.js
• Python
• React
• Angular
• SQL (PostgreSQL, MySQL, MS SQL)
• NoSQL (MongoDB, DynamoDB, Redis)
• Cloud platforms (Azure, AWS, GCP)
• Kafka or RabbitMQ
• AI/LLM tooling