15 beste Stellen als senior azure devops in münchen, by – aktuell auf Personalsuche

Senior AI DevOps / LLMOps
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- Vollzeit
- Homeoffice
- Azure
- DevOps
- Master
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KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- Bachelor
Senior Backend Engineer (m/f/d)
Allianz —München
- Vollzeit
- Azure
- DevOps
- Systemdesign
Senior AI Architect - Microsoft Technologies (m/f/d)
EPAM Systems, Inc. —München
- Hybrides Arbeiten
- Azure
- AWS
- SharePoint
Expert Senior Manager Software Engineering
Bain & Co. —München
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
Senior AI & Data Platform Engineer - Ontologies (f/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- Java
- Flexible Arbeitszeiten
Senior Project Manager - Oracle EBS (m/w/d), Germany
Infosys —München
- Azure
- Oracle
- PMP
Senior IT-Consultant Cloud Transformation Digital Risk (m/w/d)
Deloitte GmbH —München
- Online-Bewerbung
- Microsoft Powerpoint
- Azure
- Informatik
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Principal AI Architect (m/f/d)
Futurice —München
- Hybrides Arbeiten
- Azure
- Doktorat
- Informatik
Senior Software Engineer, Frontend
Emidat —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Systemdesign
- Java
Direkt bewerben
12 Tage
Cloud Software Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Junior AI Engineer (m/f/d)
Artefact —München
- Vollzeit
- Azure
- Informatik
- Master
- Flexible Arbeitszeiten
13 Std.
Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung
BridgingIT GmbH —München
- Vollzeit
- Azure
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- Weiterbildungsprogramme
- Flexible Arbeitszeiten
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(Senior) Software Developer (m/w/d)
Radiologische, Nuklearmedizinische und Strahlentherapeutische PartG —Starnberg
- Teilzeit
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- Englisch
- Softwareentwicklung
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Senior AI Engineer (m/f/d)
Artefact —München
- Vollzeit
- Azure
- Informatik
- Kundenberatung
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senior azure devops jobs near münchen, by

Senior AI DevOps / LLMOps

TechBiz Global GmbH
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Kubernetes
Ansible
DevOps
Master
AWS
Bachelor
Virtualisierung
Terraform
GitHub
A/B-Test
Künstliche Intelligenz
GitLab

Vollständige Stellenbeschreibung

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

Automation of Build-to-Production
Design and implement robust CI/CD pipelines tailored for AI, covering model weights,

dataset versioning, and application code.

Develop specialized workflows for PromptOps, ensuring that system prompts are

version-controlled, tested for regressions, and deployed with the same rigor as traditional

code.

Automate the deployment of Agentic workflows, managing the complexities of stateful

AI interactions and multi-agent handoffs.

2. AI Infrastructure as Code (IaC)

Provision and manage high-performance compute environments (GPU clusters, TPU

pods) using Terraform, Pulumi, or Ansible.

Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security,

cost-usage limits, and data residency requirements.

Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless

parity between On-Premises development and Cloud production.

3. Safe Experimentation & Controlled Releases

Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green

deployments, and Shadowing (where new models run in parallel with production to

compare outputs).

Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias,

hallucination, and performance degradation before a release.

Implement A/B testing frameworks specifically designed for LLM outputs and agentic

behavior.

4. Monitoring & Observability

- Establish deep observability into Inference Endpoints, tracking metrics like tokens-per-

second, latency, and drift in model accuracy.

Integrate feedback loops that capture production “edge cases” to feed back into the

training and fine-tuning pipelines.

Must-Have Technical Skills:

Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or

NVIDIA Triton.

CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi.
AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize

Phoenix.

Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises

hardware management.

Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault).

Experience:

10+ years in DevOps, SRE, or Cloud Engineering.
2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs

from notebook to production.

Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private

Data Center).

Direkt bewerben

Erweiterte Suche

senior azure devops Jobs in münchen, by

Senior AI DevOps / LLMOps

Senior AI Engineer (Forward Deployed) (m/f/d)

Senior Backend Engineer (m/f/d)

Senior AI Architect - Microsoft Technologies (m/f/d)

Expert Senior Manager Software Engineering

Senior AI & Data Platform Engineer - Ontologies (f/m/x)

Senior Project Manager - Oracle EBS (m/w/d), Germany

Senior IT-Consultant Cloud Transformation Digital Risk (m/w/d)

Principal AI Architect (m/f/d)

Senior Software Engineer, Frontend

Cloud Software Engineer (m/w/d)

Junior AI Engineer (m/f/d)

Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung

(Senior) Software Developer (m/w/d)

Senior AI Engineer (m/f/d)

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