Staff Full‑Stack Developer

Nutanix; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Qualcomm Global Trading Pte. Ltd. seeks a Staff Full-Stack Developer to design and deliver scalable big-data analytic applications used across engineering and manufacturing workflows.

You will build backend services, microservices, and APIs while crafting intuitive front-end dashboards for data visualization. Ideal candidates have 7–10 years of full-stack experience, strong Node.js or Python skills, React or Angular, and hands-on cloud deployment knowledge.

Qualifications

• 7–10 years of professional full-stack development experience.
• Backend expertise in Node.js or Python.
• Frontend experience with React or Angular.
• Experience with SQL and NoSQL databases.
• Cloud deployment on Azure, AWS, or GCP.
• Experience using AI tools to enhance software engineering output.

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 for secure, scalable processing of datasets.
• Develop user-centric front-end interfaces for data visualization, dashboards, and analytic workflows.
• Design and optimize data models across SQL and NoSQL platforms.
• Collaborate with product/test engineering and IT, and communicate design decisions to stakeholders.
• Apply AI/LLM-based tools for code acceleration, documentation, and data analysis.
• Contribute hands-on to agentic AI application design and integrations.

Skills

Full-stack development

Node.js

Python

React

Angular

Big-data architectures

SQL databases

NoSQL databases

Cloud platforms

AI tools

Communication skills

Education

Bachelor's degree

Master's degree

PhD

Tools

Kafka

RabbitMQ

Job description

Company:Qualcomm Global Trading Pte. Ltd.Job Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:Role OverviewWe are seeking a Staff 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. This role requires strong technical depth, excellent cross‑team communication, and the ability to leverage modern AI tools to accelerate engineering productivity and drive efficient problem‑solving.Key ResponsibilitiesArchitect, 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 and intuitive 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 team.Use AI/LLM‑based tools for code acceleration, documentation, data analysis, and engineering‑vibe synthesis (e.g., summarizing complex discussions, generating prototypes, analyzing large datasets).Provide clear communication of design decisions, tradeoffs, and architectural recommendations to technical and non‑technical stakeholders.Hands-on experience to contribute into agentic AI application design, including autonomous data processing agents, agent workflows, or LLM‑tool integrations.Required Qualifications7–10 years of professional full‑stack development experience.Strong backend expertise in one or more of: Node.js, Python.Proficiency in modern front‑end frameworks (React, Angular).Strong foundational 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 systems on cloud environments (Azure, AWS, or GCP).Excellent communication skills with ability to explain complex concepts to engineers, managers, and cross‑functional teams.Demonstrated use of AI tools to enhance software engineering output, analytics velocity, or workflow automation.Preferred QualificationsExperience designing agentic AI systems or LLM‑integrated applications.Familiarity with semiconductor engineering data (yield, parametric, test logs, product data, reliability data).Experience with Kafka, RabbitMQ, or other event-driven systems.Strong system design, architecture, and documentation skills.Minimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers .