Cloud Solution Architect-Principal IT Analyst.

6 months ago

Bengaluru, India ZF Group Full time

Req ID Bangalore, India


Your Tasks 

Design Customized solutions driving KPI’s laid out for business specific HPC architecture Solutions as defined by business context. Engage and collaborate with Solution Architects, Professional, Service Partners to define an HPC solution strategy and/or AI/ML , CAE , accelerated computing with GPU/CPU infrastructure Serve as a key member of the HPC solution architecture team, building and migrating applications, software and services from assigned cloud platform.

 
Your Profile 

Engineering with BE or Masters - Extensive expertise with minimum 10-12 years of experience in IT architectures, software development, and cloud technologies. Developer experience with HPC frameworks for workloads in a domain such as National Super Computing Centers, CAE, as applied to use cases of automotive / aerospace, financial services or pharmaceuticals. Proven ability to understand HPC user requirements and map these to solutions. Experience in architecting an HPC platform with scheduling middleware (e.g. Slum, Torque, Symphony or Grid Server).Experience in deployment, tuning and management of HPC technologies , on premise and on cloud in a scalable solutions in multi-user rtise in Cloud infrastructure Solutions (Windows and Linux IaaS,, VMware, BCDR, Security, Management, Storage, Networking, OSS and Infra as a code Technologies). High level understanding of the underlying infrastructure platform and resources to run HPC services. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Proficient in one or more of the following programming languages C++, Python, CUDA, iciency in integrations, including solid experience with Web API services and Azure for integration purposes. Solid knowledge of Microsoft SQL Server, Mongo DB. Author, maintain and contribute to solution engineering projects like Terraform modules. Deep GPU knowledge in HPC and/or AI/ML frameworks.  Additional Capabilities  In-depth operational knowledge and proficiency in software engineering, cloud computing, and cloud architecture. Working knowledge of HPC schedulers and distributed/parallel file systems, underlying IT systems, and the HPC development process, high throughput, and tight coupling approaches. Working knowledge of containers such as Docker, Kubernetes, Singularity. Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. An understanding of the cloud computing delivery model as it relates to ledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware rience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect. Track record of implementing cloud services in a variety of business environments such as large enterprises and start-ups. Troubleshoot technical issues to prove the value of implementation of technologies. Execute Architectural Design Sessions to build plan for implementing solution –governing customer specific environment. Use CAF Landing Zones to rapidly prototype and deliver proof-of-concepts that accelerate production deployment

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