Senior DevOps Engineer for Industrial AI Cloud (m/f/d)

T-Systems Iberia

España

Remote

EUR 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

24/7 health support

Coursera training access

Language classes (English/Spanish/Ger)

Life and accident insurance

Social fund

Vacation & wellbeing days

Job summary

T-Systems Iberia is seeking a Senior DevOps Engineer for Industrial AI Cloud to drive automation and CI/CD in a GPU-powered AI factory environment.

You will design, implement, and optimize IaC solutions, lead cross-functional teams, and mentor colleagues while ensuring robust, scalable pipelines across on-prem and cloud components. Proficiency in Kubernetes, scripting, and monitoring tools is essential.

Qualifications

Minimum 2+ years delivering IaaS/PaaS/SaaS based systems.
Experience with GPU-based infrastructure.
Strong knowledge of Kubernetes container technologies.
Scripting with Python and Bash.
Automation with Ansible, SaltStack, Terraform or Helm.
CI/CD in a Kubernetes environment and repository management.
Git workflows with GitHub/GitLab CI/CD.
Proficient with Linux operating system.
Experience with Grafana and Prometheus monitoring.
English at B2 level; German is a plus.

Responsibilities

Design, implement, test, and support CI/CD pipelines for AI Cloud platform.
Develop automation concepts to improve efficiency and standardization.
Advise on technical aspects and project deliverables.
Own maintenance and enhancement of product pipelines across platforms.
Mentor teammates and act as technical lead across technologies.
Set up integrations with partner applications.

Skills

Kubernetes

CI/CD pipelines

Automation tools

Python scripting

Bash scripting

Linux OS

Git workflow

Grafana

Prometheus

Docker

GitHub Actions

GitLab CI/CD

Terraform

Ansible

SaltStack

Helm

Tools

Kubernetes

Docker

Terraform

Ansible

SaltStack

Helm

GitHub Actions

GitLab CI/CD

Grafana

Prometheus

Python

Bash

Job description

Senior DevOps Engineer for Industrial AI Cloud (m/f/d)

Full-time

T-Systems is part of the Deutsche Telekom Group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

NVIDIA and Deutsche Telekom are jointly developing the world’s first industrial AI cloud for European manufacturers. This AI factory in Germany will host 10,000 GPUs across NVIDIA DGX B200 systems and RTX Pro Servers. Deutsche Telekom provides secure, sovereign and fast infrastructure, including data centers, operations, security, and AI solutions.

Role Overview

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

What will do you?

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.
Have 2+ years of experience in the design and delivery of systems based on IaaS, PaaS and SaaS.
Have experience with GPU based infrastructure.
Have knowledge of Kubernetes container-based technologies.
Have experience with scripting languages (Python/Bash).
Have experience with Automation tools and automation deployments (Ansible/Salt-stack/Terraform/Helm).
Have experience with CI/CD in a Kubernetes environment and repository management.
Are experienced in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD.
Have strong experience with Linux OS.
Have experience with monitoring and visualization tools (Grafana, Prometheus, …)
Speak English at B2 level, German is an advantage.

Other skills:

Have good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills
Possess Project Management overview on basic level
Have basic Leadership skills
Have intermediate overview of Quality management

What do we offer you?

Work environment & flexibility

International, dynamic and collaborative environment.
T-Social: social initiatives (sports, community, health, …).
Customized training: access to Coursera to learn whatever you want, whenever you want.
Weekly language classes (English, Spanish & German).
International Mentoring Sessions & Experience Days.
Life and accident insurance.
Social fund.

Wellbeing & time off