Skip to contentData Platform Engineer-HPC
| Company | Sanofi |
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| Location | Toronto, ON, Canada |
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| Salary | $93900 – $135633.33 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- 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.
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.
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).
