20 beste Stellen als devops engineer in unterhaching – aktuell auf Personalsuche

MLOps Engineer – Azure & AI/ML Platforms (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Datenbanken
- Bachelor
DevOps Engineer / CI/CD Software Developer (all gender) | Linux | C/C++ | Python | Jenkins | Docker | Secure Communications
ALTEN Consulting Services GmbH —München
- 70.000 € – 85.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Englisch
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
2 Tage
Cloud DevOps Engineer (w/d/m)
puntus GmbH —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Englisch
- Java
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Direkt bewerben
(Senior) Cloud & DevOps Engineer (m/w/d)
HiQ GmbH —München
- Azure
- Vertrieb
- Englisch
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)
Allianz —München
- Vollzeit
- Azure
- DevOps
- Scripting
Working Student DevOps Engineer (all genders)
Avelios Medical —München
- Teilzeit
- Flexible Arbeitszeiten
Senior Integration & Platform Engineer (m/w/d) – Azure, APIs, Integration
Bürklin GmbH & Co. KG —Oberhaching
- Vollzeit
- CRM-Software
- Azure
- Präsentationserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Azure Cloud Engineer
Avanade —München
- Azure
- DevOps
- Scripting
18 Std.
Site Reliability Engineer (m/f/d)
Allianz —München
- Vollzeit
- Azure
- DevOps
- Java
DevSecOps Engineer Softwareentwicklung (m/w/d)
Deloitte GmbH —München
- Online-Bewerbung
- DevOps
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Cloud / DevOps Engineer (all gender)
ALTEN —München
- Vollzeit
- Informatik
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
(Senior) Cloud DevOps Engineer (w/m/d)
Capgemini —München
- Per E-Mail
- Azure
- Englisch
- AWS
- Weiterbildungsprogramme
Software Engineer (m/w/d) mit Fokus AWS
Steadforce —München
- Vollzeit
- Englisch
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Google Cloud AI Engineer (all genders)
Accenture —München
- Vollzeit
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
AI DevOps Engineer (all genders)
AEB SE —München
- Vollzeit
- Azure
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Platform Engineer (DevOps Engineer / Cloud Engineer / Site Reliability Engineer) (m/w/d)
CIB SOFTWARE GMBH —München
- Englisch
- AWS
- Python
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Senior Azure DevOps Engineer (m/w/d)
OMMAX GmbH —München
- Azure
- Informatik
- DevOps
AI Platform Engineer (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Master
Direkt bewerben
AI DevOps Engineer / Automation Builder (m/w/d)
Ecoturn GmbH —München
- Homeoffice
- CRM-Software
- SQL
- APIs
- Flexible Arbeitszeiten
Direkt bewerben
1 Tag
Cloud Software Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten

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devops engineer jobs near unterhaching

MLOps Engineer – Azure & AI/ML Platforms (m/f/d)

KI group GmbH
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Datenbanken
Bachelor
Terraform
REST
GitHub
APIs
Künstliche Intelligenz
Python
Identitätsmanagement

Vollständige Stellenbeschreibung

Become our new MLOps Engineer (m/f/d)

At KI Performance, we move AI from experimentation to production. As a MLOps Engineer, you will design, build, and operate highly scalable, secure Azure-based AI platforms used in production environments. This role sits at the intersection of cloud infrastructure, DevOps, and AI delivery, with a strong focus on enabling iterative AI development, reliable model deployment, and platform scalability.

You will work closely with AI engineers, data teams, and product stakeholders to ensure that AI use cases can be developed, deployed, and operated efficiently at scale — with production-grade reliability, security, and observability.

Your responsibilities

Cloud Infrastructure & Platform Engineering

Design, implement, and operate scalable Azure infrastructure for AI and data-intensive platforms using Terraform
Build and maintain secure Azure networking architectures (VNETs, subnets, NSGs, Private Endpoints)
Implement access control and governance using Azure RBAC, Key Vault, and Azure Policies
Ensure infrastructure is production-ready with a focus on performance, reliability, and scalability

CI/CD & Release Engineering

Design and operate modern CI/CD pipelines using GitHub Actions
Enable fast, safe, and repeatable deployments for infrastructure, services, and AI models
Support iterative development with strong versioning, testing, and rollback strategies

MLOps & AI Platform Enablement

Operationalize AI use cases using MLflow (experiment tracking, model registry, deployment workflows)
Support the full AI lifecycle from experimentation to production deployment
Deploy and operate model inference services exposed via REST APIs (FastAPI preferred)
Collaborate closely with AI engineers to ensure models are production-ready

Observability & Reliability

Implement end-to-end observability using OpenTelemetry
Set up monitoring and logging using Azure Application Insights (or equivalent tooling)
Proactively improve system reliability, performance, and incident response

Engineering & Automation

Use Python for automation, AI integration, backend services, and tooling
Support platform self-service capabilities for engineering teams
Continuously improve infrastructure and operational maturity

Your profile

Hands-on experience building Azure infrastructure for scalable AI platforms using Terraform
Strong experience designing CI/CD pipelines with GitHub Actions
Proven experience with OpenTelemetry and monitoring using Azure Application Insights
Strong MLOps experience using MLflow (tracking, registry, deployment workflows)
Strong Python skills for AI development, automation, and backend integration
Experience exposing AI inference services via REST APIs (FastAPI preferred)
Deep understanding of Azure networking (VNETs, subnets, NSGs, Private Endpoints)
Strong knowledge of Azure security and governance (IAM/RBAC, Key Vault, Azure Policies)

Nice to have

Experience with Agentic AI platforms
Hands-on experience with Microsoft Foundry / Azure AI Foundry
Experience using LangGraph or other GenAI development frameworks
Knowledge of vector databases and retrieval systems (Azure AI Search preferred)
Experience with cost optimization strategies for Azure AI infrastructure

Why join us

Work with a highly skilled Engineering, Data & AI team
Flexible hybrid setup
Lots of ownership and freedom to shape solutions
Access to modern cloud, data & AI technologies
Personal development, training budget, certifications
A culture built on trust, autonomy, and collaboration

About KI Performance

We transform how companies work with data, preparing them for the future of artificial intelligence. With our expertise in data platforms and AI-powered solutions, we create measurable business value—always with a clear focus on strategy and impact.

Our projects range from global data platforms to cutting-edge Gen AI applications, directly contributing to the success of leading DAX-listed companies. By leveraging the latest technologies, we set new standards in digital transformation and collaborate closely with Microsoft, Databricks, and our KI Group ecosystem to develop sustainable and future-ready solutions.

Our culture is shaped by forward-thinking, curious, and open-minded professionals who actively shape the digital world. To maintain this dynamic environment, we place great value on diversity, innovation, and close teamwork. If you want to learn more about our culture and benefits, visit our careers page.

Ready to shape the future of data-driven business models with us?

Apply now - we look forward to hearing from you!

Jetzt bewerben

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