Location
Heidelberg Germany
Germany
Heidelberg Germany
Germany
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Yearly)
Salary information is not provided for this position.
Undisclosed
-
Category
MLOps / DevOps Engineer
Date posted
June 19, 2025
Job type
Full-time
Experience level
Mid level

Job Description

Overview

We are seeking a skilled and motivated AI Platform Engineer (f/m/d) to join our team at PhariaAI. In this role, you will play a crucial part in helping our customers successfully deploy, operate, and scale the PhariaAI stack across on-premise and cloud environments. You will work directly with customers to understand their infrastructure requirements, drive secure and scalable operations, and ensure the reliable performance of AI workloads in production settings.

Your responsibilities

  • Helping our customers deploy and operate the PhariaAI stack in on-premise and cloud environments.

  • Gaining a deep understanding of customer infrastructure requirements to ensure a fast time-to-value.

  • Helping our customers secure the PhariaAI stack for critical production use cases. Ensure scalability and performance of PhariaAI operations by taking a holistic perspective across multiple layers of the solution.

  • Enable technical experts at our customer to deploy and operate PhariaAI self-sufficient towards defined SLOs.

  • Work closely together with our customer’s technology experts adopting a hands-on and solution-oriented mindset.

Your Profile

Basic Qualifications

  • You care about making something people want. You want to ship something that will bring value to users. You want to deliver AI solutions end-to-end and not only build a prototype.

  • Degree in Computer Science or a related field.

  • Experience with the Kubernetes ecosystem and tooling for package management (including Helm), containerization, monitoring and security.

  • Experience with deploying and operating LLMs for inference including managing compute constraints and working with LLM APIs. Familiarity with NVIDIA GPU Operator and NVIDIA hardware preferred.

  • Solid expertise in networking technologies, including HTTP proxies, routing mechanisms, and certificate management.

  • Solid experience with computing our cloud infrastructure providers like GCP, Azure, AWS, OpenStack, or VMWare, particularly in managing GPU-enabled compute resources.

  • Drive to implement AI innovations into real-world applications.

  • Excellent communication skills in English and German (preferred).

Preferred Qualifications 

  • Experience with infrastructure-as-code tools like Terraform and cluster management tools.

  • Experience with fast-paced work environments and organizational growth.

What you can expect from us

  • Become part of an AI revolution!

  • 30 days of paid vacation

  • Access to a variety of fitness & wellness offerings via Wellhub

  • Mental health support through nilo.health

  • Substantially subsidized company pension plan for your future security

  • Subsidized Germany-wide transportation ticket

  • Budget for additional technical equipment

  • Regular team events to stay connected

  • Flexible working hours for better work-life balance and hybrid working model

  • Virtual Stock Option Plan

  • JobRad® Bike Lease

Companies size
201-500
employees
Founded in
2019
Headquaters
Heidelberg, Germany
Country
Germany
Industry
Software Development
Social media
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