Senior Full-Stack IT Software Developer: Data Pipelines & AI

Qualcomm; San Diego (CA); Sur place; USD 108 000 - 162 000; Plein temps

Résumé du poste

Qualcomm Incorporated in San Diego seeks an IT Software Developer to design, develop, and support modern software applications and data platforms. You will work on full-stack development, data pipelines, and AI-enabled solutions across enterprise systems.

The role emphasizes APIs, microservices, and scalable data architectures, enabling collaboration with engineers, data scientists, and business stakeholders. This onsite position offers growth in AI initiatives and platform modernization.

Qualifications

• 2+ years of experience in software development, data engineering, application development, or related technical roles.
• Experience with Python, Java, JavaScript, TypeScript or similar languages.
• Experience building enterprise software applications and services; fundamentals of OOP, data structures, algorithms.

Responsabilités

• Designs, develops, and maintains APIs, microservices, and integration services for enterprise platforms.
• Develops and supports scalable data pipelines for ingestion, transformation, validation, indexing, and analytics.
• Contributes to AI-enabled applications and intelligent search capabilities.
• Collaborates with product owners, architects, and engineers to deliver business-critical solutions.
• Performs design reviews, testing, deployment, and release management activities.

Connaissances

Full-stack development

Python

Java

JavaScript/TypeScript

Data engineering

APIs/microservices

DevOps

Problem-solving

Formation

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, or related technical field

Outils

MongoDB

Elasticsearch

ClickHouse

Docker

Kubernetes

Cloud platforms (GCP, AWS, Azure)

Description du poste

Qualcomm Incorporated in San Diego seeks an IT Software Developer to design, develop, and support modern software applications and data platforms. You will work on full-stack development, data pipelines, and AI-enabled solutions across enterprise systems.

The role emphasizes APIs, microservices, and scalable data architectures, enabling collaboration with engineers, data scientists, and business stakeholders. This onsite position offers growth in AI initiatives and platform modernization.