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

Remote work

Full-time

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

The world’s first industrial AI cloud for European manufacturers is being developed. This AI factory in Germany will host 10,000 GPUs across systems and servers. It provides secure, sovereign and fast infrastructure, including data centers, operations, security, and AI solutions.

Role Overview:

DevOps Engineer Principal / DevOps Professional provides consultation of functional organization to implement DevOps principles in term of culture and technologies. Holder of the position prepares prototypes and concepts for further automation of assigned technology, driving continuous improvement. DevOps Engineer Professional is responsible for 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.
• 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.
• Owns responsibility for maintenance & support of enhancement of the Product pipelines with further levels of value chain, connecting pipeline to different platforms and infrastructures, integration of different platforms and infrastructures into the pipeline, 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/outside own team.
• Setup 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.
• Possess solid knowledge of Kubernetes and container-based technologies.