Data Platform Engineer -HPC

Reference No. R2794384

Position Title: Data Platform Engineer -HPC

Department: Scientific Computing Platforms

Location: Toronto, Ontario

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 

We are seeking a highly skilled Data Platform Engineer with deep expertise in AWS cloud infrastructure, High performance computing (HPC) and network architecture to support our scientific research activities in North America. The ideal candidate will have strong proficiency in cloud-based system operations, including orchestration, automation, and network security, with a focus on supporting scientific computing workloads. This role involves collaborating with various R&D groups to design, implement, and maintain scalable, secure, and high-performance cloud environments. The candidate should be adept at managing both cloud-native and hybrid environments, troubleshooting complex networking issues, and optimizing cloud-based scientific workflows.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Design, deploy, and optimize cloud-based computing infrastructures to support scientific research activities.

• Manage and secure AWS cloud environments (VPC, Transit Gateway, Direct Connect, Route 53) and its integration to the Sanofi environment (Zscaler/firewalls) .

• Implement and troubleshoot network architectures, ensuring high availability, low latency, and security compliance across cloud-based and hybrid infrastructures.

• Automate infrastructure deployment and management using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or CDK.

• Develop and manage Kubernetes clusters and containerized workflows to facilitate scientific computing workloads.

• Implement CI/CD pipelines for automating infrastructure updates and application deployments, ensuring minimal downtime.

• Monitor, optimize, and troubleshoot cloud and hybrid environments, ensuring efficient resource utilization and cost-effectiveness.

• Manage access control policies ensuring compliance with security best practices.

• Support hybrid connectivity, and routing configurations across cloud and on-prem environments.

• Assist researchers in deploying, scaling, and troubleshooting cloud-based applications for computational workloads through HPC schedulers.

• Stay updated with the latest advancements in cloud networking, security, and DevOps methodologies, recommending improvements to optimize research infrastructure.

About You

Required Skills and Experience:

• Extensive experience managing cloud infrastructure, particularly in AWS (EC2, VPC, FSx for Lustre, EKS, Lambda, RDS, DynamoDB, S3, CloudFront, etc.).

•  Strong understanding of networking concepts, including subnetting, routing, NAT, VPNs, Transit Gateway, BGP, DNS, load balancing, and firewall rule management.

• Expertise in Infrastructure as Code (IaC) tools, such as Terraform (preferred), CloudFormation, CDK.

• Experience with containerization and orchestration technologies (Docker, Kubernetes).

• Experience with working with Schedulers (Slurm, PBS, Grid Engine…) and applications wrappers

•  Strong automation and scripting skills in Python, Bash for infrastructure and operational tasks.

• Experience with CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins, ArgoCD, etc.).

• Knowledge of identity and access management (IAM, SSO, MFA…) for securing cloud environments.

• Experience in monitoring and logging tools such as CloudWatch, Prometheus, Grafana, Datadog.

• Strong problem-solving skills with the ability to troubleshoot networking and infrastructure issues across complex environments.

• Excellent communication skills to collaborate effectively with researchers, DevOps, and IT security teams.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

• AWS Certified Solutions Architect, DevOps Engineer, or Advanced Networking Specialty certifications.

• Experience with other cloud platforms (Google Cloud, Azure).

• Familiarity with zero-trust security models and cloud-native security best practices.

• Experience with scientific computing and R&D workflows (Cellranger, Nextflow, R/RStudio.

• Hands-on experience with policy-as-code tools (HashiCorp).

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

This position is for a new vacant role that is now open for applications.

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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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.