Hybrid Cloud Solution Architect
at
Siemens Healthineers
ontario, Ontario, Canada
-
Full Time
Start Date
Immediate
Expiry Date
22 Nov, 26
Salary
0.0
Posted On
24 Aug, 26
Experience
10 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Information Services
Description
Design, build and maintain cloud systems on Azure and AWS using all available services with a focus on PaaS, while also architecting platforms and reference architectures specifically for AI and High-Performance Computing (HPC) workloads.
Build solutions that provide availability, performance and stability in our systems, services and products at scale, including support for largescale model training, inference, and HPC simulations.
Work in conjunction with our demand teams, data science/HPC teams and business users to understand functionality, scalability, performance, security and integration requirements for both application and AI/HPC use cases.
Propose architectures using native Azure/AWS services, automation and serverless technology in a complex multitenant environment; include GPU/accelerator provisioning, distributed compute patterns, storage tiering and high throughput/low latency networking when required for AI/HPC.
Collaborate within the organization to build secure IaaS, PaaS and SaaS environments in Azure and AWS that also accommodate AI/HPC operational requirements.
Define migration solutions for existing on prem hosted software development processes (CI/CD landscapes), including pipelines and practices for ML model lifecycle (training, validation, deployment) and reproducible HPC workflows.
Understand Siemens Healthineers information security requirements and drive adherence for cloud workloads, applying specific controls and governance needed for sensitive data used in AI and HPC workloads.
Develop and maintain documentation for built Azure/AWS systems and procedures, and include runbooks, capacity planning guidance and tuning tips for AI/HPC jobs and large data pipelines.
Craft and evangelize secure cloud platform and product requirements, incorporating cost management and performance optimization strategies for compute intensive workloads.
Embrace a culture of continuous service improvement and service excellence, with regular reviews of platform performance, cost and reliability.
Stay current on cloud industry trends, emerging technologies, and best practices.
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