Principal Platform/Cloud Engineering Engineer

Johnson & Johnson

Confirmed live today High trust
Closes in 7 days Remote

Quick summary

Work type
Remote
Location
Spring House, PARaritan, NJBeerse, Antwerp, BelgiumLeiden, South Holland, NetherlandsMadrid, Madrid, SpainMaidenhead, Berkshire, United Kingdom
Salary
$102,000–$175,950 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today
Closes
Nov 3, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $139k
$84k $274k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $169,550–$214,500 — the blue band above. At the midpoint, this role pays about $139k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 46 open roles on FindRole.

Listed pay typically runs $113,000–$201,250 across 38 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Principal Platform/Cloud Engineering Engineer

The Principal Engr Platform/Cloud Engineering joins the R&D Advanced Computing group to support AI Native Drug Discovery. This role involves providing technology leadership, assessing strategy roadmaps, and architecting scalable, cost-optimized solutions for pharmaceutical research. You will design and implement generative and agentic AI platforms, including LLM-powered applications, autonomous workflows, and retrieval-augmented generation. Key responsibilities include managing the technology stack for scheduling, monitoring, and orchestration while building solutions on AWS or Azure. Required technical skills include Python, Java, C++, GraphQL, Docker, Kubernetes, and experience with GPUs for deep learning. You will utilize tools like AWS EC2, S3, Lambda, and RDS to accelerate drug discovery workflows. The role requires expertise in containerization, serverless computing, and high-performance storage to solve complex problems in the Innovative Medicine R&D business.

What you'll do

  • Set technology strategy and roadmaps for AI Native Drug Discovery platforms.
  • Design and implement scalable, cost-optimized cloud solutions on AWS or Azure.
  • Develop generative and agentic AI platforms including LLM-powered applications and RAG architectures.
  • Build and operationalize solutions using foundation models with responsible AI guardrails.
  • Drive the technology stack for scheduling, monitoring, deployment, and configuration management.
  • Establish long-term sustainable operational processing and resource models for R&D computing.
  • Provide technical leadership to develop and motivate junior team members.
  • Partner with business units to identify and execute high-impact technology opportunities.

What we're looking for

  • A Bachelor’s degree in Computer Science, Bioinformatics, Computational Science, or a related field with at least 6 years of industry experience.
  • A Master’s degree in Computer Science, Bioinformatics, Computational Science, or a related field with at least 4 years of industry experience.
  • Experience with Python, Java, C++, or other complex programming languages.
  • Experience with AWS services including EC2, S3, RDS, and Lambda.
  • Experience with container functionality such as Docker, Singularity, Kubernetes, and AWS EKS.
  • Experience with GraphQL API implementation and visualization technologies.
  • Experience with GPUs for computational sciences, advanced AI/ML/Deep Learning, and high-performance storage solutions.
  • Experience building generative or agentic AI solutions with AWS Bedrock, Anthropic Claude, or similar foundation models (preferred).

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