Job Description & How to Apply Below
## Hybrid Cloud Solution Architect Apply remote type:
Hybrid locations:
OAV Ntime type:
Full time posted on:
Posted Todayjob requisition :
R-27313
Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
The Hybrid Cloud Solution Architect will join the team that designs, builds and operates Siemens Healthineers’ global Multi-Cloud (Microsoft Azure & AWS) and on premises environments. This role has two core focuses: architecting scalable, secure platforms for AI and High Performance Computing (HPC) workloads and designing robust general cloud infrastructure architectures to support enterprise applications and services.
The ideal candidate for this role will have experience and a general overview of Cloud and On-premises IT architecture, software implementation, automation, quality assurance, monitoring and maintaining services with various underlying dependencies. Close collaboration with business teams to understand requirements and translate them into performant and reliable cloud solutions is key to this position.
The Hybrid Cloud Solution Architect will join the team that designs, builds and operates Siemens Healthineers’ global Multi-Cloud (Microsoft Azure & AWS) and on premises environments. This role has two core focuses: architecting scalable, secure platforms for AI and High-Performance Computing (HPC) workloads and designing robust general cloud infrastructure architectures to support enterprise applications and services.
The ideal candidate for this role will have experience and a general overview of Cloud and On-premises IT architecture, software implementation, automation, quality assurance, monitoring and maintaining services with various underlying dependencies. Close collaboration with business teams to understand requirements and translate them into performant and reliable cloud solutions is key to this position.
** Responsibilities:
*** 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 large scale 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,…
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