DevOps Engineer Professional for Industrial AI Cloud + 5 000 € Sign‑On Bonus (m/f/d)

Odmeňovanie

From 3 800 EUR/month

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits.

Purpose

Two organizations are jointly developing the world’s first industrial AI cloud for European manufacturers. This AI factory will host 10,000 GPUs across systems and servers. Secure, sovereign and fast infrastructure is provided, including data centers, operations, security, and AI solutions.

Role Overview

Provides consultation of functional organization to implement DevOps principles in term of culture and technologies. The position prepares prototypes and concepts for further automation of assigned technology, driving continuous improvement. The role is responsible for the entire lifecycle of Continuous Integration/Continuous Deployment pipelines and Infrastructure as Code approaches.

What will you do?

• Design, develop, test, implement and support ICT components and applications in order to deliver quality standard product portfolio on AI Cloud platform running.
• Develop concepts, processes and methods for automation, optimization, and standardization to satisfy efficiency and automation requirements.
• Consult and provide advice or information at request or at own initiative to all relevant employees or customers regarding technical aspects of products.
• Consult and provide project deliverables to fulfil the project scope.
• Own responsibility for maintenance and support of enhancement of the product pipelines with further levels of value chain, connecting pipelines to different platforms and infrastructures, integrating different platforms and infrastructures into the pipeline, and performing root-cause analysis of pipeline runtime errors.
• Develop and implement architecture of services based on AI Cloud platform requirements.
• Mentor and train co-workers to spread knowledge level and develop their skills.
• Act as key technical lead and solve and coordinate activities across related technologies and outside own team.
• Set up and manage integration with partner applications.

You will succeed if you

• Have 3+ years of experience in the design and delivery of systems based on IaaS, PaaS and SaaS.
• Have experience with GPU-based infrastructure.
• Have experience managing and operating a platform running.
• Possess solid knowledge of Kubernetes and container-based technologies.