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Johnson & Johnson
Johnson & Johnson
H1B vizos rėmėjasFarmacijos produktaiSveikatos draudimasSveikatos priežiūra
Johnson & Johnson yra pasaulinė sveikatos priežiūros bendrovė, veikianti inovatyvių vaistų ir medicinos technologijų srityse. Jos komandos kuria sprendimus onkologijos, imunologijos, neuromokslų, specializuotos oftalmologijos, intervencinės medicinos ir ortopedijos srityse, pasitelkdamos mokslą bei technologijas sudėtingiems sveikatos poreikiams spręsti. Bendrovė taip pat daug dėmesio skiria sveikatos lygybei, aplinkos tvarumui, įvairovei ir įtraukčiai, teikdama paslaugas sveikatos priežiūros specialistams, pacientams ir bendruomenėms visame pasaulyje.
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Darbai įmonėje

Principal Cloud Platform Engineer, Digital Imaging at Johnson & Johnson

Lead cloud, generative AI, and imaging platform strategy for Johnson & Johnson’s healthcare R&D. Guide technology deployments across global Digital Imaging teams.

BEBelgija
79 800 € – 137 770 € / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDebesijos inžinierius
AWSAzureC++ChefDebesijaDockerEC2GraphQLJavaKubernetesLinuxPython

Aprašymas

  • Define technology strategy and roadmaps, and lead deployments across Digital Pathology, Digital Radiology, and Clinical Imaging.
  • Build and maintain partnerships with business stakeholders across pharmaceutical research and development.
  • Identify opportunities for Digital Imaging platforms and assess their potential impact.
  • Deliver capabilities for Digital Imaging platforms.
  • Work across IT, influence sector and enterprise technology leaders, and collaborate with the Life Sciences imaging community.
  • Advance capabilities for scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility.
  • Use cloud computing to deliver effective solutions.
  • Develop sustainable models for operational processing and resource use.
  • Apply containerization, serverless computing, accelerated AI/ML and 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 operate AWS or Azure cloud solutions using reusable patterns for prompt engineering, tool and function calling, agent orchestration, evaluation, and responsible AI guardrails.
  • Lead technology work and support and mentor junior team members.

Reikalavimai

  • Bachelor’s degree in Computer Science, Bioinformatics, Computational Science, or a related field plus at least 6 years of industry experience, or a master’s degree in one of these fields plus at least 4 years of industry experience.
  • Ability to lead technology platforms, programs, and projects, applying technical expertise to identify new opportunities.
  • Experience with Python, Java, C++, or another 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 managing technical vendors.
  • Experience working on global, cross-functional teams.
  • Experience in a fast-paced, collaborative work environment.
  • Preferred: Experience with AWS RDS.
  • Preferred: Experience developing generative or agentic AI solutions using 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 experience implementing GraphQL APIs.
  • Preferred: Experience with visualization technologies and techniques.
  • Preferred: Experience using Chef for configuration management.
  • Preferred: Experience with GPUs for computational science, advanced AI/ML and 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 comparable image management and image analysis technologies.
  • Bonus: Experience with AWS Lambda.
  • Bonus: Experience with high-performance computing clusters, such as Grid Engine and Slurm.
  • Bonus: Experience with Microsoft Azure and Google Compute Engine.

Privalumai

  • Annual bonus with a target set according to pay grade and location, based on employee and company performance.
  • Vacation days.
  • At least 12 weeks of parental leave.
  • Bereavement leave.
  • Caregiver leave.
  • Volunteer leave.
  • Well-being reimbursement.
  • Programs supporting financial, physical, and mental health.
  • Service anniversary and recognition awards.
  • Insurance plans for employees and, in some locations, eligible dependents.

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