Lead DevOps Engineer - Industrial AI Cloud

SmartRecruiters, Inc.; España; A distancia; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Coursera training

Language classes (English, Spanish, 2)

Life insurance

Social fund

Vacation 26+ days

Medical support

Salary during medical leave

Descripción de la vacante

T-Systems is seeking a Principal DevOps Engineer for Industrial AI Cloud to guide enterprise customers through onboarding, design of PoCs, and integration of AI workloads. You will deploy GPU clusters, optimize pipelines, and ensure scalable, secure operations across complex environments.

You will mentor teams, define architectures, and lead cross-functional collaborations to accelerate customer value in a fast-paced AI platform project.

Formación

• 3+ years of experience designing and delivering systems based on IaaS, PaaS and SaaS.
• Experience with GPU-based infrastructure.
• Solid knowledge of Kubernetes container-based technologies.
• Expert knowledge of Python/Bash scripting.
• Expert knowledge of automation deployments (Ansible/Salt-Stack/Terraform/Helm).
• Expert knowledge of CI/CD in a Kubernetes environment and repository management.
• Expert in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD.
• Strong experience with Linux OS.
• Experience with monitoring and visualization tools (Grafana, Prometheus).
• English at B2 level; German is a plus.

Responsabilidades

• Consult customers on all technical aspects related to GPU infrastructure and platform usage.
• Lead onboarding and training, mentoring customer specialists on usage of 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, and validation of delivered solutions.
• Act as the key technical 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 across the customer lifecycle.
• Support monitoring, observability, and capacity planning for AI workloads.

Conocimientos

GPU infrastructure

Kubernetes

Python/Bash scripting

Automation tools

CI/CD

Git/GitHub/GitLab

Linux OS

Monitoring tools

English proficiency

Communication skills

Herramientas

Kubernetes

Ansible

Salt-Stack

Terraform

Helm

GitHub Actions

GitLab CI/CD

CI/CD in Kubernetes

Grafana

Prometheus

Descripción del empleo

T-Systems is seeking a Principal DevOps Engineer for Industrial AI Cloud to guide enterprise customers through onboarding, design of PoCs, and integration of AI workloads. You will deploy GPU clusters, optimize pipelines, and ensure scalable, secure operations across complex environments.

You will mentor teams, define architectures, and lead cross-functional collaborations to accelerate customer value in a fast-paced AI platform project.