Principal Engineer – Platform/Cloud Engineering

Johnson & Johnson

. Set technology strategy and roadmaps and lead technology deployments across Digital Imaging, including Digital Pathology, Digital Radiology, and Clinical Imaging .

Posted 10/12/2026full-timeBeerse • BelgiumLead💰 €79,800 - €137,770 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technology strategy and deployments in Digital Imaging, with a strong focus on cloud computing, AI/ML technologies, and cross-functional collaboration. Proven ability to develop and operationalize advanced technology platforms while mentoring junior team members.

Highest-signal resume keywords

Technology Strategy DevelopmentCloud Computing Solutions (AWS, Azure)AI/ML Platform DevelopmentCross-Functional Team LeadershipContainerization and Orchestration (Docker, Kubernetes)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaC++AWS EC2AWS S3DockerKubernetesLinuxWindowsGraphQL API Implementation

Soft Skills

CollaborationLeadershipMotivationCommunicationTechnical Acumen

Tools & Technologies

AWS EKSAWS RDSChefPACSHigh-Performance Computing

Industry Keywords

Digital ImagingBioinformaticsComputational ScienceGxP ProjectsAgile Methodology

Tech Stack

Tools & technologies

AWSAzureChefCloudDockerEC2GraphQLJavaKubernetesLinuxPythonC++

About the role

Key responsibilities & impact

Set technology strategy and roadmaps and lead technology deployments across Digital Imaging, including Digital Pathology, Digital Radiology, and Clinical Imaging
Maintain partnerships with business partners across pharmaceutical research and development disciplines
Identify and assess opportunities and impact for Digital Imaging technology platforms
Execute Digital Imaging platform capabilities
Collaborate across IT, influence sector and enterprise technology leadership, and partner with the Life Sciences imaging community
Drive technology capabilities for scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility
Leverage cloud computing to deliver effective solutions
Establish sustainable operational processing and resource models
Incorporate containerization, serverless, accelerated AI/ML/deep learning, and agentic AI technologies
Design and develop generative and agentic AI platforms, LLM-powered applications, autonomous and multi-agent workflows, RAG, and model orchestration
Build and operationalize AWS or Azure cloud solutions with reusable patterns for prompt engineering, tool/function calling, agent orchestration, evaluation, and responsible AI guardrails
Provide technology leadership, development, support, and motivation for junior team members

Requirements

What you’ll need

Minimum of a Bachelor’s degree in Computer Science, Bioinformatics, Computational Science, or related field and minimum of 6 years of industry experience; OR a Master’s degree in these fields and minimum of 4 years of industry experience
Ability to lead technology platforms, programs, and projects and apply technical acumen to create new opportunities
Experience with Python, Java, C++, or related complex programming language
Experience with AWS EC2 and S3
Experience with Docker, Singularity, Kubernetes, and AWS EKS
Experience with Windows platforms
Experience with Linux platforms
Experience with technical vendor management
Experience working on cross-functional and global teams
Experience working in a fast-paced collaborative environment
Preferred: Experience with AWS RDS
Preferred: Experience building generative or agentic AI solutions with AWS Bedrock, Anthropic Claude, or similar foundation models
Preferred: Experience with agent frameworks and RAG architectures, including LangChain, LangGraph, LlamaIndex, Strands, and vector databases
Preferred: Hands-on GraphQL API implementation
Preferred: Experience with visualization technologies and techniques
Preferred: Experience with Chef for configuration management
Preferred: Experience with GPUs for computational sciences, advanced AI/ML/deep learning image analysis, and predictive model training
Preferred: Experience with high-performance storage solutions
Preferred: Experience implementing GxP projects
Preferred: Experience with Agile methodology
Bonus: Familiarity with PACS or similar image management and image analysis technologies
Bonus: Experience with AWS Lambda
Bonus: Experience with high-performance computing cluster technologies such as Grid Engine and Slurm
Bonus: Experience with Microsoft Azure and Google Compute Engine

Benefits

Comp & perks

Annual bonus with set target depending on pay grade/location, based on employee and company performance
Vacation days
Parental leave for a minimum of 12 weeks
Bereavement leave
Caregiver leave
Volunteer leave
Well-being reimbursement
Programs for financial, physical and mental health
Service anniversary and recognition awards
Insurance plans for employees and, in some locations, eligible dependents