20 beste Stellen als cloud / devops in stuttgart, bw – aktuell auf Personalsuche

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Stuttgart
- Vollzeit
- Homeoffice
- Azure
- DevOps
- Master
Direkt bewerben
Account Manager (m/f/d)
WRING GmbH —Filderstadt
- 100.000 € – 160.000 € pro Jahr
- Homeoffice
- AWS
- Mit Reiseanteil
- Mechanikkenntnisse
Direkt bewerben
Tech Lead Software Engineering for Cloud-based Industrial AI Applications (f/m/div.)
Bosch Group —Renningen
- Teilzeit
- Azure
- Informatik
- DevOps
Salesforce Platform Architect (m/f/d)
DEKRA —Stuttgart
- Vollzeit
- Vertrieb
- Salesforce
- DevOps
AI Platform Engineer (m/f/d)
Advantest —Böblingen
- Azure
- Master
- AWS
Solution Architect (f/m/x) Vouchers
Mercedes-Benz Group AG —Stuttgart
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Englisch
- Mitarbeiter-Rabatt
6 Tage
Salesforce Architect (m/f/d)
Advantest —Böblingen
- Azure
- Vertrieb
- Salesforce
Associate - AI Tech Architecture (all genders) - BCG Platinion
Boston Consulting Group —Stuttgart
- Mit Reiseanteil
- Erfahrung in der IT
- Künstliche Intelligenz
14 Tage
AI Tech Architect (all genders) - BCG Platinion
Boston Consulting Group —Stuttgart
- Informatik
- Mit Reiseanteil
- Softwareentwicklung
14 Tage
Senior Data Engineer (m/f/d)
mimacom —Stuttgart
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Java
- Flexible Arbeitszeiten
Werkstudent*in Applied AI & Process Automation
Mercedes-Benz Group AG —Böblingen
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Englisch
- Ohne Hochschulabschluss
- Mitarbeiter-Rabatt
- Flexible Arbeitszeiten
Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications (f/m/div.)
Bosch Group —Renningen
- Teilzeit
- Künstliche Intelligenz
Praktikant*in Data Science und KI im digitalen Marketing (Pflicht-Praktikum)
Mercedes-Benz Group AG —Stuttgart
- Online-Bewerbung
- Hybrides Arbeiten
- Azure
- Englisch
- Python
- Mitarbeiter-Rabatt
9 Tage
Full-Stack Entwickler (w/m/d)
Valyue Consulting GmbH —Stuttgart
- Per E-Mail
- Informatik
- Englisch
- APIs
- Erfolgsbeteiligung
- Gleitzeit
Senior Solution Architect Microsoft Business Applications (m/w/d)
Deloitte Consulting GmbH —Stuttgart
- Online-Bewerbung
- CRM-Software
- Azure
- Informatik
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Consultant Business & AI Insights (m/w/d)
Deloitte Consulting GmbH —Stuttgart
- Online-Bewerbung
- Informatik
- DevOps
- Englisch
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
1 Tag
SAP Basis Administration Consultant (all genders)
Accenture —Stuttgart
- Vollzeit
- DevOps
- Flexible Arbeitszeiten
(Senior) IT-Consultant IGA / SailPoint IIQ oder ISC (m/w/d)
iC Consult Group GmbH —Stuttgart
- Online-Bewerbung
- Homeoffice
- Informatik
- Englisch
- APIs
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
SAP CX / CRM Consultant (all genders)
Accenture —Stuttgart
- Online-Bewerbung
- CRM-Software
- Informatik
- Englisch
- Weiterbildungsprogramme
Junior Team Lead Development (m/w/d)
Innovabee Group GmbH & Co. KG —Waiblingen
- Vollzeit
- Informatik
- Englisch
- JavaScript
- Erfolgsbeteiligung
- Gleitzeit

Ich möchte aktuelle Job-E-Mails für Stellen als cloud / devops in stuttgart, bw erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

cloud / devops jobs near stuttgart, bw

Senior AI DevOps / LLMOps

TechBiz Global GmbH
Stuttgart

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

cloud / devops Jobs in stuttgart, bw

Senior AI DevOps / LLMOps

Account Manager (m/f/d)

Tech Lead Software Engineering for Cloud-based Industrial AI Applications (f/m/div.)

Salesforce Platform Architect (m/f/d)

AI Platform Engineer (m/f/d)

Solution Architect (f/m/x) Vouchers

Salesforce Architect (m/f/d)

Associate - AI Tech Architecture (all genders) - BCG Platinion

AI Tech Architect (all genders) - BCG Platinion

Senior Data Engineer (m/f/d)

Werkstudent*in Applied AI & Process Automation

Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications (f/m/div.)

Praktikant*in Data Science und KI im digitalen Marketing (Pflicht-Praktikum)

Full-Stack Entwickler (w/m/d)

Senior Solution Architect Microsoft Business Applications (m/w/d)

Consultant Business & AI Insights (m/w/d)

SAP Basis Administration Consultant (all genders)

(Senior) IT-Consultant IGA / SailPoint IIQ oder ISC (m/w/d)

SAP CX / CRM Consultant (all genders)

Junior Team Lead Development (m/w/d)

Ich möchte aktuelle Job-E-Mails für Stellen als cloud / devops in stuttgart, bw erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt