Senior DevOps Engineer (Azure, Kubernetes)
Job Description
Must have:
- Hands-on experience with Azure
- Strong experience with Kubernetes
- Proven expertise as a DevOps Engineer in software development projects
- Solid expertise with CI/CD practices and tools
- Proficiency in designing and managing data pipelines using different tools and frameworks
- Experience with monitoring and ensuring the reliability and performance of data systems
- At least upper-intermediate level of English
Job Responsibilities
As a key member of our data engineering team, you will help to develop a sophisticated Unified Data Layer (UDL), which leverages advanced AI and Machine Learning capabilities to drive data-driven decision-making across the enterprise. Your activities will include:
- Driving DevOps, CI\CD, Installation, Deployment of product components
- Maintaining test and development environments
- Work on Cloud application development frameworks
- Evaluate new technologies
- Work with the application development teams
Department/Project Description
Partnering with a leading Japanese multinational corporation, we are engineering a Universal Data Layer (UDL) / Industrial Data Fabric to resolve the critical data fragmentation challenge in manufacturing sectors with complex bills of materials. UDL will function as the unified data management layer, connecting and harmonizing disparate data sources. Its core is a Semantic Knowledge Graph which provides a unified System of Insight that contextualizes manufacturing data, fundamentally breaking down enterprise data silos.
Required languages
| English | B2 - Upper Intermediate |