Senior Azure Cloud Engineer: Data Fabric & AI Labs

Luxoft Poland; Polska; Presencial; PLN 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Medical care

Dental care

Life Insurance

Internal Mobility program

Descripción de la vacante

Luxoft Poland is seeking a cloud-focused DevOps engineer to help design and implement a secure Azure-based foundation for automotive workloads. You will contribute to governance, enable AI-enabled data workflows, and drive scalable cloud environments across multiple tenants.

In this role you will build and maintain lab environments, implement provisioning automation, and ensure seamless integration with existing CI/CD processes and Dev Center projects.

Formación

• Proficient in Python and infrastructure as a service (IaaS) concepts.
• Experience with Azure Dev Center deployments and Azure DevOps pipelines.
• Knowledge of Terraform, Bicep, and configuration management.
• Strong understanding of networking (TCP/IP) and cloud security basics.

Responsabilidades

• Support deployment and configuration of Azure Dev Center and projects across production tenants.
• Handle tenant-specific configurations and deployment requirements.
• Develop lab environments based on business and technical needs.
• Create and maintain configuration files, scripts, and templates for each lab.
• Automate provisioning and configuration of lab environments.
• Configure project environments and link with labs.
• Manage configurations and relationships between Dev Center Projects and Labs.
• Ensure consistent and repeatable environment provisioning.
• Develop and maintain Azure DevOps pipelines for automated deployments.
• Integrate lab configurations and provisioning scripts into CI/CD processes.
• Support version control, release management, and deployment automation.

Conocimientos

Python

IaaS

Microsoft Data Fabric

Network

Terraform

Bicep

TCP/IP

CI/CD

Herramientas

Azure Dev Center

Azure DevOps

Descripción del empleo

Luxoft Poland is seeking a cloud-focused DevOps engineer to help design and implement a secure Azure-based foundation for automotive workloads. You will contribute to governance, enable AI-enabled data workflows, and drive scalable cloud environments across multiple tenants.

In this role you will build and maintain lab environments, implement provisioning automation, and ensure seamless integration with existing CI/CD processes and Dev Center projects.