Principal Platform & Cloud Engineer, Digital Imaging

Johnson & Johnson Co.; Belgique; Hybrid; EUR 80.000 - 138.000; Vollzeit

Benefits dieser Stelle

Annual bonus

Zusammenfassung

Johnson & Johnson is recruiting for a Principal Engineer in Platform & Cloud Engineering within the R&D Advanced Computing group, focused on Digital Imaging Technologies. This role can be located in Beerse, NL, ES, UK, NJ, or PA, and involves leading technology strategy and deploying cloud-based imaging platforms.

Responsibilities include collaborating with cross-functional teams to deliver scalable, AI-enabled solutions and advancing containerized architectures, with a strong emphasis on

Qualifikationen

• Bachelor’s or Master’s degree with several years of industry experience.
• Proven ability to lead technology platforms and programs.
• Experience with Python, Java, C++, or related languages.
• Experience with AWS EC2 and S3.

Aufgaben

• Set technology strategy/roadmaps for Digital Imaging platforms.
• Lead deployments to business partners across Digital Imaging domains.
• Collaborate with IT and business partners to deliver scalable imaging solutions.
• Drive the technology stack, including orchestration, monitoring, and AI/ML capabilities.
• Stay ahead of cloud-native and AI-enabled architectural patterns.

Kenntnisse

Python

Java

C++

AWS

Docker

Kubernetes

Windows

Linux

Vendor management

Cross-functional teamwork

Ausbildung

Bachelor's degree in Computer Science / Bioinformatics / Computational Science

Master's degree in Computer Science / related field

Tools

Docker/Singularity/Kubernetes

AWS EC2

AWS S3

GraphQL API

GPUs / HPC

Jobbeschreibung

Johnson & Johnson is recruiting for a Principal Engineer in Platform & Cloud Engineering within the R&D Advanced Computing group, focused on Digital Imaging Technologies. This role can be located in Beerse, NL, ES, UK, NJ, or PA, and involves leading technology strategy and deploying cloud-based imaging platforms.

Responsibilities include collaborating with cross-functional teams to deliver scalable, AI-enabled solutions and advancing containerized architectures, with a strong emphasis on