R2844103 Platform Engineer
Department: Platform Engineering
About the Job
Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative team
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data Platforms & Products Team as Platform Engineer and you can help make it happen.
Your job?
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
As a Platform Engineer in our Digital R&D team, you’ll be the person making sure our data and software work together. You will partner with Product Owners to turn complex scientific ideas into real, scalable digital solutions. This is a hands-on role where you will experiment, build prototypes, and prove that new features work before turning them into high-quality production ready applications for the R&D teams.
Our vision for digital, data analytics and AI
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.
About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
Main Responsibilities:
Solution Architecture & Design: Partner with Product Owners to design and implement API-first strategies that facilitate seamless data integration across R&D systems.
Rapid Prototyping (PoC): Lead the development of functional Proof of Concepts to validate architectural frameworks and mitigate technical risks before moving into full-cycle development.
AI-Centric: Build "AI-Ready" platforms with a focus on building integrated AI Agents and automated application workflows to enhance research capabilities.
API Management: Develop and maintain a secure, high-performance ecosystem of RESTful APIs to serve as a reliable interface for both users and other systems.
Infrastructure as Code (IaC): Manage and scale our secure AWS environment using Terraform, ensuring consistent and reproducible deployments.
Data Engineering & Orchestration: Build and optimize high-integrity data pipelines using Snowflake and dbt to deliver "AI-ready" datasets to our scientific community.
Security & GxP Compliance: Uphold stringent pharmaceutical security standards to protect intellectual property and ensure all architectural solutions remain compliant with industry regulations.
About You
Experience:
Bachelor's in science or engineering background is a must with Masters Preferred.
3-5 years in platform engineering, full stack development, and building on AWS Cloud
Knowledge of the complete software development lifecycle and Agile methodologies.
Preferred: Certification in AWS Solution Architect / AWS DevOps
Communication: Proven ability to explain complex technical trade-offs to non-technical stakeholders
Industry Knowledge: (Preferred) Previous experience in Life Sciences, BioTech, or a highly regulated data environment
Technical Profile
Cloud Infrastructure: Deep expertise in AWS Foundational Services (EC2, S3, IAM, Lambda, VPC, ECS/EKS).
DevOps & CI/CD: Proficiency with Terraform for IaC and GitHub Actions for automation.
Software Development
Backend: Python, FastAPI, RESTful Services, and AWS API Gateway.
Frontend: React JS, TypeScript, and Redux for state management.
Architecture: AI and Experience in designing Scalable & AI-Ready systems (e.g., vector database integration or model serving readiness).
Security & Integration: SSO-auth (Okta/Azure AD/Ping), Async API calls, and secure data handling.
Data Engineering (preferred): Experience with Snowflake (Data Warehousing) and dbt (Transformation)
Why Choose us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
Applications received after the official close date will be reviewed on an individual basis.
This position is for a new vacant role that we are actively hiring for.
AI Usage
"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
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Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
North America Applicants Only
The salary range for this position is:
83,800.00 - 133,100.00 (Includes target bonus)Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.
La fourchette salariale pour ce poste est la suivante:
83,800.00 - 133,100.00 (Comprend le bonus cible)La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien
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Toronto, Ontario, Canada
Onsite