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Luxoft seeks an experienced Cloud Architect to design and implement a cloud foundation platform for customer workloads and business applications. The role focuses on secure, compliant cloud environments and governance services to accelerate onboarding of solutions.
You will contribute to a Data Mesh with data as a product mindset, and AI Labs initiatives, collaborating with client teams and internal stakeholders to deliver scalable, secure data and AI-ready infrastructure.
DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology.
Join a global community of engineers and be part of building impactful, modern technology solutions!
Luxoft is an industry-leading software integrator and solution house for automotive OEMs and suppliers. There are millions of cars on the road today with solutions designed by DXC-Luxoft.
You will work with one of the biggest car manufacturer to design and implement a cloud foundation platform for customer's workloads and business applications. You will design and adopt a secure and compliant cloud environment along with the implementation of governance foundation services to accelerate and streamline the onboarding of customer's solutions to the cloud.
A Data Mesh platform built on top of it to exchange, integrate, and process data from multiple internal systems. The Data Mesh platform applies domain-oriented data ownership, treats data as a product, and uses federated governance, enabling controlled data usage to support future AI applications.
AI Labs is a sub-product of the Data Mesh platform: an interface and services layer that gives teams self-serve access to the AI-ready datasets they need, without having to connect to each underlying source system individually.
The solution is designed and built through iterative collaboration with the client's team and other stakeholders to identify, manage, and document requirements across data domains. Our approach is iterative, adaptive, and proactive: each team member owns a specific domain area and its deliverables, and coordinates closely with that domain's data owners and downstream consumers.