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Johnson & Johnson
Johnson & Johnson
H1B vizos rėmėjasBiotechnologijaFarmacijos produktaiSveikatos priežiūra
Johnson & Johnson yra pasaulinė sveikatos priežiūros bendrovė, veikianti farmacijos, medicinos prietaisų ir vartotojų sveikatos srityse. Jos mokslinių tyrimų ir produktų kūrimo veikla apima onkologijos, imunologijos, neuromokslų bei širdies ir plaučių ligų vaistus ir gydymo būdus, taip pat medicinos technologijų sprendimus širdies ir kraujagyslių priežiūros, ortopedijos, chirurgijos ir regos srityse. Platesnė bendrovės veikla apima ir sveikatos bei gerovės švietimą, plataus masto gamybą, darbą su investuotojais bei pasaulines socialinio poveikio iniciatyvas, sudarančias galimybes dirbti mokslo, klinikinėse, inžinerijos, gamybos, komercinėse ir įmonės funkcijose.
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Darbai įmonėje

Principal Engineer, Platform and Cloud Engineering

Lead cloud engineering strategy for scalable digital imaging platforms supporting Johnson & Johnson’s pharmaceutical R&D. Shape infrastructure and technology across imaging, AI, and research computing.

BEBelgijaUSJungtinės ValstijosNJNaujasis DžersisPAPensilvanija
102 000 $ – 175 950 $ / metai
NuotolinisVisas etatasVadovasPrivaloma Kalba: anglųDebesijos inžinierius
AWSAzureC++ChefDebesijaDockerEC2JavaKubernetesLinuxPython

Aprašymas

  • Set strategy, plan roadmaps, and lead technology deployments for digital imaging across digital pathology, radiology, and clinical imaging.
  • Build partnerships across pre-clinical sciences, translational safety, oncology, neuroscience, immunology, data sciences, molecular imaging, and other groups.
  • Identify promising opportunities for digital imaging platforms in pharmaceutical research and development.
  • Define success measures and deliver digital imaging platform capabilities.
  • Work across IT and influence technology leaders at the sector and enterprise levels.
  • Collaborate with the broader life sciences imaging community.
  • Guide technology for scheduling, communications, monitoring, reporting, alerts, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility.
  • Use cloud computing to deliver effective solutions.
  • Develop sustainable operating, processing, and resource models.
  • Assess and adopt containerization, serverless computing, accelerated AI, machine learning, deep learning, and agentic AI technologies.
  • Lead, develop, support, and motivate direct reports and the wider team.

Reikalavimai

  • Bachelor’s degree in information technology, computer science, bioinformatics, computational science, or a related field plus at least 6 years of industry experience, or a relevant master’s degree plus at least 4 years of industry experience.
  • Ability to lead teams, programs, and projects, and apply business judgment to identify new opportunities.
  • Experience with AWS EC2 and S3.
  • Experience with Windows platforms.
  • Experience managing vendors.
  • Experience working with cross-functional and global teams.
  • Experience in a fast-paced, collaborative environment.
  • Preferred: experience with visualization technologies and techniques.
  • Preferred: experience with Python, Java, C++, or a comparable complex programming language.
  • Preferred: experience with Linux platforms.
  • Preferred: familiarity with imaging technologies such as PACS or similar image management systems, and/or image analysis technologies.
  • Preferred: experience with Agile methods.
  • Bonus: experience using Chef for configuration management.
  • Bonus: experience with Docker, Singularity, Kubernetes, and AWS EKS.
  • Bonus: experience with GPUs for computational science, advanced AI/ML and deep learning image analysis, or predictive model training.
  • Bonus: experience with high-performance storage solutions.
  • Bonus: experience implementing GxP projects.
  • Bonus: experience with AWS RDS and AWS Lambda.
  • Bonus: experience with high-performance computing clusters such as Grid Engine and Slurm.
  • Bonus: experience with Microsoft Azure and Google Compute Engine.
  • Bonus: experience with advanced Windows platform features.

Privalumai

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short- and long-term disability insurance
  • Business accident insurance
  • Group legal insurance
  • Consolidated retirement plan (pension)
  • 401(k) savings plan
  • 120 hours of vacation per calendar year
  • 40 hours of sick time per calendar year
  • 13 days of holiday pay, including floating holidays, per calendar year
  • Up to 40 hours of work, personal, and family time per calendar year
  • 480 hours of parental leave within one year of a child’s birth, adoption, or foster placement
  • Condolence leave: 30 days for an immediate family member or 5 days for an extended family member
  • 10 days of caregiver leave
  • 4 days of volunteer leave
  • 80 hours of military spouse time off
  • Fully remote work option

Susiję darbai

Johnson & Johnson

Principal Engineer, Platform and Cloud Engineering

Johnson & Johnson
H1B vizos rėmėjasFarmacijos produktaiSveikatos draudimasSveikatos priežiūra
BEBelgijaUSJungtinės ValstijosNJNaujasis DžersisPAPensilvanija
102 000 $ – 175 950 $ / metai
NuotolinisVisas etatasVadovasPrivaloma Kalba: anglųDebesijos inžinierius
AWSAzureC++ChefDebesijaDockerEC2JavaKubernetesLinuxPython

Lead cloud engineering for Johnson & Johnson’s Digital Imaging platforms in pharmaceutical R&D. Shape AWS infrastructure, AI/ML capabilities, deployments, and technology strategy.

Atidaryti
Bright Vision Technologies

Senior Hybrid Cloud Architect

Bright Vision Technologies
51 – 200 Darbuotojai
H1B vizos rėmėjasKibernetinis saugumasKonsultavimasSveikatos priežiūra
USJungtinės Valstijos
100 000 $ – 150 000 $ / metai
NuotolinisVisas etatasVyresnysis specialistasVadovasPrivaloma Kalba: anglųDebesijos inžinierius
AWSAzureDebesijaGoogle Cloud PlatformKubernetesTerraform

Bright Vision Technologies is seeking a senior Hybrid Cloud Architect to shape strategies across AWS, Azure, GCP, and OCI for business automation software. The role covers secure, portable platforms spanning identity, networking, Kubernetes, observability, and FinOps.

Atidaryti