Principal Platform & Cloud Engineer - AI Native Remote

Biopharma Careers

Pennsylvania

Remote

USD 102,000 - 176,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k) retirement plan

Job summary

Johnson & Johnson seeks a Principal Engineer, Platform & Cloud Engineering for AI-native drug discovery. Location options include Spring House, PA; Raritan, NJ; Beerse, BE; Leiden, NL; Madrid, ES; Maidenhead, UK.

Responsible for technology leadership, architecture, and scalable cloud deployments across global teams. The role emphasizes generative AI platforms, containerized architectures, and orchestration, with a focus on delivering high-value, compliant solutions in a fast-paced R&D

Qualifications

  • Bachelor’s or Master’s degree in a related field with several years of industry experience.
  • Experience leading technology platforms, programs and projects.
  • Proficiency in Python, Java, C++ or related languages.
  • Experience with AWS services (EC2, S3, RDS, Lambda).
  • Hands-on GraphQL API implementation and data visualization experience.
  • Familiarity with container ecosystems and HPC tooling.

Responsibilities

  • Set technology strategy and roadmaps for AI native drug discovery platforms.
  • Lead deployments and collaborate with cross-functional teams and partners.
  • Architect and implement scalable cloud-based solutions for computational drug discovery.
  • Mentor junior engineers and drive performance improvements.
  • Stay current with AI/ML trends and responsible AI practices.

Skills

Accessible Design
Agility Jumps
Business Alignment
Cloud Computing
Cloud Migrations
Cloud Security
Coaching
Critical Thinking
Hybrid Clouds
Software Development Life Cycle

Education

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

Tools

Docker
Kubernetes
Singularity
AWS EKS

Job description

Johnson & Johnson seeks a Principal Engineer, Platform & Cloud Engineering for AI-native drug discovery. Location options include Spring House, PA; Raritan, NJ; Beerse, BE; Leiden, NL; Madrid, ES; Maidenhead, UK.

Responsible for technology leadership, architecture, and scalable cloud deployments across global teams. The role emphasizes generative AI platforms, containerized architectures, and orchestration, with a focus on delivering high-value, compliant solutions in a fast-paced R&D

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