Project Overview:
Intellias is supporting the modernization and ongoing development of a cloud-native, AI-driven platform used across the vehicle product lifecycle by a major global automotive group. The platform enables structured planning, testing, deployment, and reporting of both hardware and software components, significantly enhancing quality, traceability, and process automation in automotive R&D.
Intellias is responsible for maintaining and upgrading the existing system, integrating Microsoft Azure services (e.g., Azure DevOps, Data Factory, Databricks, Power BI) to support scalable data ingestion, predictive analytics, and AI-powered decision-making.
The project includes building predictive models and intuitive dashboards, all aligned with agile methodologies and continuous delivery practices.
This initiative is a core part of the client’s long-term strategy to enable software-defined vehicle development through intelligent, integrated engineering platforms.
Requirements:
- 5+ years of experience with Azure DevOps, including Boards, Pipelines, and Repos.
- Strong expertise in CI/CD processes and infrastructure automation.
- Hands-on experience with Azure Service Fabric or similar orchestration platforms.
- Proficiency with scripting tools (e.g., YAML, PowerShell, Bash).
- Knowledge of cloud architecture, security best practices, and monitoring strategies.
Responsibilities:
- Build and maintain CI/CD pipelines for automated deployment of services and infrastructure.
- Manage Azure DevOps workflows and collaborate on project tracking with Boards.
- Configure and operate Azure Service Fabric clusters and related cloud infrastructure.
- Automate provisioning, scaling, and monitoring of services in production.
- Support release management, rollback strategies, and operational readiness.
- Ensure compliance with DevOps best practices and continuous improvement initiatives.
