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

An industrial AI cloud for Europe is being jointly developed. It provides secure, sovereign and fast infrastructure, including data centers, operations, security, and AI solutions.

You will guide enterprise customers through onboarding, training, and early adoption of the AI platform.

Your responsibility includes understanding customer requirements, supporting solution design, executing Proofs of Concept (PoCs), and ensuring smooth integration of customer workloads (LLMs, GPU compute, AI pipelines). You act as a trusted technical advisor, helping customers efficiently use their GPU clusters and AI toolchains.

Responsibilities

• Guide clients through onboarding, training, and early-stage implementation of AI solutions.
• Understand customers’ technical and business needs and support the design of tailored architectures.
• Lead Proofs of Concept that validate real-world value.
• Ensure smooth integration of complex workloads, from LLM deployment and GPU compute optimization to building end-to-end AI/ML pipelines.
• Empower customers to use their GPU clusters and AI toolchains efficiently, troubleshoot challenges, and adopt best practices.
• Consult customers on all technical aspects related to GPU infrastructure and platform usage.
• Lead onboarding and training, mentoring customer specialists on optimal usage of their GPU clusters and AI environments.
• Design and implement PoCs, including environment setup, data processing pipelines, and deployment workflows.
• Conduct requirement engineering, translating business needs into technical specifications.
• Assist customers with performance optimization, troubleshooting, fine-tuning, and validation of delivered solutions.
• Act as the key technical point of contact, coordinating cross-functional teams across infrastructure, networking, automation, security, and AI services.
• Propose and develop automation concepts to improve services, processes, and operating models.
• Ensure best practices in reliability, scalability, and security are applied across the customer lifecycle.
• Support monitoring, observability, and capacity planning for AI workloads and GPU utilization.

Requirements