Principal Platform & Cloud Engineer for AI Imaging

Johnson & Johnson Innovative Medicine

Beerse

Presencial

EUR 80.000 - 138.000

Jornada completa

hace 32 horas
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Ventajas ofrecidas por este puesto de trabajo

Annual bonus
Vacation days
Parental leave
Well-being reimbursement
Insurance plans

Descripción de la vacante

Johnson & Johnson Innovative Medicine is recruiting a Principal Engineer in Platform & Cloud Engineering for the R&D Advanced Computing group. You will drive platform strategy, design scalable cloud-based solutions, and collaborate with global teams across Digital Imaging domains.

Required are strong software development skills in Python/Java/C++, cloud experience (AWS), container platforms (Docker/Kubernetes), and Linux/Windows proficiency.

Formación

  • Bachelor's or Master's in CS/related field with several years in the field.
  • Ability to lead technology platforms and programs with strong technical acumen.
  • Experience in Python/Java/C++ and cloud-native environments.

Responsabilidades

  • Set technology strategy/roadmaps and lead deployments for Digital Imaging.
  • Partner with cross-functional teams across disciplines and geographies.
  • Drive the technology stack, including scheduling, monitoring, and deployment.
  • Leverage cloud capabilities and AI/ML to deliver business value.
  • Mentor junior engineers and contribute to governance and best practices.

Conocimientos

Python
Java
C++
Programming languages

Educación

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field

Herramientas

AWS EC2
AWS S3
Docker
Kubernetes
Windows
Linux
GraphQL API

Descripción del empleo

Johnson & Johnson Innovative Medicine is recruiting a Principal Engineer in Platform & Cloud Engineering for the R&D Advanced Computing group. You will drive platform strategy, design scalable cloud-based solutions, and collaborate with global teams across Digital Imaging domains.

Required are strong software development skills in Python/Java/C++, cloud experience (AWS), container platforms (Docker/Kubernetes), and Linux/Windows proficiency.

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