Ability to analyze stakeholder requirements and convert into secure and scalable cloud solutions.
Design and develop infrastructure blueprints for the implementation and automation of new solutions.
Responsible for impact analysis and design modifications to existing systems to support new solutions.
Grow and mature the AI/ML Platform architecture to support ongoing digital business transformation.
Lead the design and implementation of best governance practices for design, security, development, usability, cost control and forensics across multiple cloud providers for public, private and hybrid solutions
Collaborate with DevOps team to enable an automated compute and I/O provisioning platform to democratize access to compute resources.
Provide L3 engineering support and lead the delivery of infrastructure solutions on the platform.
Must have skills
Google or AWS Cloud Experience
Infrastructure as Code (Terraform or CloudFormation)
Ideal candidate should have 5+ years of prior experience in IT infrastructure; network and server engineering, data center in a high-tech environment.
3+ years successfully designing and implementing successful public cloud solutions (AWS or GCP).
Proven work experience as a Platform Engineer or similar role in a cloud native environment.
Experience in deploying and implementing scalable cloud-based solution architectures for PaaS, IaaS or SaaS.
Deep hands-on experience leading the design and deployment of technology infrastructure, network, compute, storage, and virtualization.
Experience with global organizations spanning multiple geographies is a plus.
Employement Category:
Employement Type: Full time Industry: IT - Software Role Category: Application Programming / Maintenance Functional Area: Not Applicable Role/Responsibilies: AI/ML Platform Engineer