WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Cloud DevOps Engineer

GULP Information Services GmbH
Köln, Germany
2 days ago
Apply on www.careerjet.de
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source
www.careerjet.de

Tech stack

Unity 3d Artificial Intelligence Microsoft Azure Cloud Computing Continuous Integration Information Engineering DevOps Github Python (Programming Language) Scrum Methodology OpenAI Search Technologies
+19 more
Software Engineering SQL Databases Data Streaming Cloud Platform System Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Apache Spark Llamaindex Agentic-AI Data Lakes Kubernetes Bicep Apache Kafka Machine Learning Operations Terraform Docker Key Vault Databricks

Requirements

Erfahrung: Mehrjährige Praxis als AI Engineer, MLOps Engineer, Data Engineer oder Cloud Platform Engineer in produktiven Umgebungen. AI & LLM Stack: Hands-on-Erfahrung mit Large Language Models, RAG, Embeddings, Vector Search und Agenten-Architekturen. Databricks & Azure: Sehr gute Kenntnisse von Databricks (Spark, Delta Lake, Unity Catalog, MLflow, Mosaic AI) sowie der Azure-Plattform (Azure OpenAI, Key Vault, Storage, Networking). Software Engineering & MLOps: Fundierte Kenntnisse in Python, SQL, CI/CD, MLOps und IaC (Terraform / Bicep, Azure DevOps / GitHub Actions). Sprachen: Sehr gute Deutschkenntnisse (Must-Have) und gute Englischkenntnisse. Erfahrung mit LLM-Frameworks (LangChain, LlamaIndex etc.), Guardrails und Human-in-the-Loop-Prozessen. Kenntnisse in Docker / Kubernetes sowie Event-Streaming (Azure Event Hubs / Kafka). Erfahrung in agilen Frameworks (Scrum / Kanban).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.de
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:56 min

Provisioning a secure container infrastructure with Bicep

Matthias Falkenberg +1 · World Congress 2022

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all
How E.On productionizes its AI model & Implementation of Secure Generative AI. thumbnail
19:27
World Congress 2023 • about 3 years ago

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Kapil Gupta

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • 3 months ago

Docker Compose: Rediscovered

Matthieu Vincent

Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code thumbnail
40:32
World Congress 2022 • over 4 years ago

Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code

Matthias Falkenberg, Timo Knapp

Shifting Stress to Progress— Understanding DevOps to do DevOps Better thumbnail
37:46
LIVE • almost 5 years ago

Shifting Stress to Progress— Understanding DevOps to do DevOps Better

Sonal Patil

Docker build without Docker thumbnail
28:40
World Congress 2026 Europe • 3 months ago

Docker build without Docker

Oliver Seitz

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • 3 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Related articles

See all