Principal Engr Platform/Cloud Engineering
Biopharma Careers
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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
Education
Tools
Job description
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Technology Product & Platform Management
Platform/Cloud Engineering
Scientific/Technology
Beerse, Antwerp, Belgium, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
We are searching for the best talent for a Principal Engr Platform/Cloud Engineering to be located in either Springhouse, PA, Raritan, NJ or Beerse, Belgium
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Springhouse, PA, Raritan, NJ, Beerse, Belgium
Beerse, Belium - Requisition Number: R-105724
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Innovative Medicine Research & Development, a Johnson & Johnson company, is recruiting for Principal Engineer, Platform & Cloud Engineering in our R&D Advanced Computing group focused on AI Native Drug Discovery. This position will be located in Spring House, PA; Raritan, NJ; Beerse, BE; Leiden, NL; Madrid, ES; or Maidenhead, UK.
The R&D Advanced Computing team is part of a broader R&D Engineering organization that works on leading-edge technology solutions to drive the Innovative Medicine R&D business. R&D Advanced Computing is made up of a group of technical engineers and solution architects engaged in the hands-on delivery of business solutions. Team members typically work directly with business partners in delivering solutions. The team prides itself on being closely involved in all aspects of deployments, including assisting with defining business value propositions and user story collections, designing robust solution architectures and implementing the technical solutions. Our mission is to architect, design and implement the best technology to deliver high performing, scalable, reusable and cost optimized solutions across the IM R&D organization, enabling opportunities and significant business value that could not have been accomplished before, accelerating medicine to patients who are waiting.
The Principal Engineer, Platform/Cloud Engineering will be a part of this team, providing technology leadership, assessing and influencing technology strategy roadmaps, being at the table with business partners, solution architecting/designing, implementing and deploying solutions to drive the overall AI Native Drug Discovery ecosystem and related disciplines.
Be a key contributor in setting technology strategy/roadmaps, as well as lead and implement technology deployments to business partners in AI Native Drug Discovery and related disciplines
Maintain strong partnerships with business partners in Therapeutics Discovery, Therapeutic Areas, Data Sciences, and others based on incoming demand
Contribute technology expertise to help identify and assess areas of greatest opportunity and impact for AI Native Drug Discovery technology platforms in pharmaceutical research and development at Innovative Medicine, and execution of platform capabilities
Collaborate with numerous groups across the IT organization, engage and influence in sector and enterprise technology leadership, as well as partner externally with the Life Sciences industry community
Drive the team's technology stack, including capabilities for scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse and reproducibility
Leverage the unique capabilities of cloud computing to deliver effective solutions
Establish long term sustainable operational processing and resource models
Stay abreast of the rapidly changing technology landscape and incorporate technologies such as containerization, serverless and accelerated AI / Machine Learning / Deep Learning / Agentic AI as appropriate to deliver business value
Design and develop generative and agentic AI platforms, including LLM-powered applications, autonomous and multi-agent workflows, retrieval-augmented generation (RAG), and model orchestration that accelerate drug discovery workflows
Build and operationalize solutions on Cloud (AWS or Azure) using comparable foundation models, establishing reusable patterns for prompt engineering, tool/function calling, agent orchestration, evaluation, and responsible AI guardrails
Exhibit capable and authentic technology leadership to learn from, develop, support, and motivate junior team members
A minimum of a Bachelor’s degree in Computer Science, Bioinformatics, Computational Science, or related field and a minimum of 6 years of industry experience; OR a Master’s degree in Computer Science, Bioinformatics, Computational Science, or related field and a minimum of 4 years of industry experience
Proven ability to lead technology platforms, programs, 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 AWS RDS
Experience with AWS Lambda
Experience with hands on GraphQL API implementation
Experience with visualization technologies and techniques
Experience with container functionality (Docker/Singularity/Kubernetes) and AWS EKS
Experience with GPUs for areas such as computational sciences, advanced AI / ML / Deep Learning image analysis and predictive model training
Experience working on high performance storage solutions
Experience with functionality of Windows platforms
Experience with functionality of Linux platforms
Experience with technical vendor management
Experience working on cross functional and global teams
Experience working in a fast-paced collaborative environment
Experience building generative or agentic AI solutions with AWS Bedrock, Anthropic Claude, or similar foundation models
Experience with agent frameworks and RAG architectures (e.g., LangChain, LangGraph, LlamaIndex, Strands, vector databases, etc.)
Familiarity with management and analysis technologies in the area of drug discovery
Experience working with Chef for configuration management
Hands-on experience building generative or agentic AI solutions with AWS Bedrock, Claude, or similar foundation models.
Experience implementing GxP projects
Experience working with Agile methodology
Experience working with High Performance Computing cluster technologies (e.g., Grid Engine, Slurm)
Experience with other major cloud providers such as Microsoft Azure and Google Compute Engine
#JNJTECH
#LI-REMOTE
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
Accessible Design, Agility Jumps, Business Alignment, Cloud Computing, Cloud Migrations, Cloud Security, Coaching, Critical Thinking, Human-Computer Interaction (HCI), Hybrid Clouds, Multi Cloud Models, Organizing, Presentation Design, Software Development Life Cycle (SDLC), Software Development Management, Tactical Planning, Technical Credibility, Technical Writing
Accessible Design, Agility Jumps, Business Alignment, Cloud Computing, Cloud Migrations, Cloud Security, Coaching, …
$102,000 - $175,950
Additional Description for Pay Transparency:
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year
- for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member
- 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
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