20 beste Stellen als cloud engineer in landkreis münchen – aktuell auf Personalsuche

AI Platform Engineer (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Senior Fullstack Software Engineer IoT (m/w/d)
Truma Gerätetechnik GmbH & Co. KG —Putzbrunn
- Vollzeit
- Azure
- Informatik
- Datenbanken
- Flexible Arbeitszeiten
Cloud DevOps Engineer (m/w/d)
MVTec Software GmbH —München
- Vollzeit
- Azure
- AWS
- Scripting
- Gleitzeit
- Homeoffice-Möglichkeit
13 Tage
Application Engineer (w/m/d)
HCM4all GmbH —München
- Vollzeit
- Homeoffice
- Kundenberatung
- Datenbanken
Principal DevOps Engineer (all genders)
Expleo —München
- Azure
- Informatik
- DevOps
- Gleitzeit
- Homeoffice-Möglichkeit
Senior webMethods Integration Engineer (w/m/d) in Teil- oder Vollzeit
CROZ DACH GmbH —München
- 70.000 € – 90.000 € pro Jahr
- Teilzeit
- Persönlich
- Software-Fehlerbehebung
- Java
Direkt bewerben
Deployment Engineer, EMEA
Cellebrite —München
- Vollzeit
Direkt bewerben
Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)
Allianz —München
- Vollzeit
Cloud & Infrastructure Engineer
Conxai Technologies GmbH —München
- Vollzeit
Direkt bewerben
Werkstudent Cloud Engineering & AI-Integration (w/m/x)
BMW —München
- Teilzeit
- Informatik
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
(Junior) Cloud Site Reliability Engineer (Network) (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Google Cloud AI Engineer (all genders)
Accenture —München
- Vollzeit
- Softwareentwicklung
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Cloud Engineer Softwareentwicklung (m/w/d)
Deloitte GmbH —München
- Online-Bewerbung
- Java
- Hochschulreife
- Mit Reiseanteil
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
DevOps Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
Senior M365 System Engineer M365
Gesellschaft für angewandte Informationstechnologien mbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- SharePoint
- Gleitzeit
- Flexible Arbeitszeiten
Lead AI Systems Engineer (All Genders)
zooplus SE —München
- 84.100 € – 102.800 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
Direkt bewerben
Cloud Software Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Java
- Hochschulreife
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
DevOps Engineer (m/w/d)
blackned GmbH —Gilching
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Informatik
- Mit Reiseanteil
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
JUNIOR AI-DRIVEN PLATFORM ENGINEER (M/W/D)
Reply —München
- Hybrides Arbeiten
- Informatik
- Azure
- Informatik
- Weiterbildungsprogramme
4 Tage
Site Reliability Engineer (M/W/D)
PAYBACK GmbH —München
- Bereitschaftsdienst
- DevOps
- Englisch
- Erfahrung mit Netzwerken
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten

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cloud engineer jobs near landkreis münchen

AI Platform Engineer (m/f/x)

Scalable GmbH -
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Jobticket

Qualifikationen

Informatik
Software Engineering
Master
Bachelor

Vollständige Stellenbeschreibung

Company Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €50 billion to the platform.

Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

Job Description

As an AI Platform Engineer embedded within our Data Science and AI tribe, you will design and maintain the foundational infrastructure that enables our AI Software Engineers to build and scale generative AI applications.

You will build our internal AI provisioning platform, focusing on seamless model access, observability, and strict governance. In this role, you will ensure our AI integrations are secure, performant, and cost-effective, providing the robust backbone required for our agentic and LLM-driven workflows.

Responsibilities:

Develop and maintain an internal AI provisioning platform to streamline access to various LLMs & MCP Servers (e.g., via LiteLLM).
Implement comprehensive LLM observability, logging, and alerting systems using tools like Datadog and Langfuse.
Enforce model governance, ensuring security, data privacy, rate limiting, and strict LLM API cost management.
Collaborate closely with embedded AI Software Engineers to support cloud-native architectures and agentic workflow integrations.
Build and maintain infrastructure for monitoring the reliability and performance of production AI systems.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Several years of professional experience in Platform Engineering, DevOps, SRE, or backend software development.
Strong experience and confidence working with cloud infrastructure (AWS preferred) and Infrastructure as Code (Terraform).
Proficiency in at least one programming language (e.g., Python, Go) and experience with CI/CD pipelines and containerization (e.g., Docker).
Solid understanding of API cost management, rate limiting, security best practices, and data privacy for AI models.
Experience with, or a strong willingness to learn, LLM gateways, observability platforms, and telemetry (e.g., LiteLLM, Langfuse, Datadog).
Strong problem-solving skills, a sense of humor, and the ability to thrive in an ego-free environment as an embedded platform expert within a cross-functional Data Science and AI team.

Additional Information

Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
Be productive with the latest hardware and tools
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
Learn and experience German culture first hand by joining our free German language classes
International relocation support is provided if required
Opportunity to work from abroad
Benefit from an attractive compensation package and from the company pension scheme
Monthly contribution of 50% for the ‘Deutschland Jobticket’
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
Enjoy flexible and discounted sports activities with Urban Sports Club

Direkt bewerben

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