20 beste Stellen als cloud / platform engineer (m/w/d) in zorneding – aktuell auf Personalsuche

Site Reliability Engineer (SRE) (m/w/d)
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- Vollzeit
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CIB SOFTWARE GMBH —München
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- Vollzeit
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- Bachelor
- Kommunikationsfähigkeit
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- Vollzeit
- Hybrides Arbeiten
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Sales Executive – Google Cloud (m/w/d)
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- Vollzeit
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Senior Integration & Platform Engineer (m/w/d) – Azure, APIs, Integration
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- Vollzeit
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- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten

Ich möchte aktuelle Job-E-Mails für Stellen als cloud / platform engineer (m/w/d) in zorneding erhalten

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cloud / platform engineer (m/w/d) jobs near zorneding

Site Reliability Engineer (SRE) (m/w/d)

Lio -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 9 Tagen

Qualifikationen

Management-Erfahrung
MongoDB
Verteilte Systeme
GitHub

Vollständige Stellenbeschreibung

Build and scale the infrastructure behind enterprise AI.

At Lio, we're building the AI workforce for procurement. As a Site Reliability Engineer, you'll work directly with our CTO to build the infrastructure that powers one of Europe's fastest-growing enterprise AI startups. From scaling our platform across regions to optimizing databases for agentic AI, you'll help shape the foundation that enables Lio to serve global enterprise customers with exceptional performance and reliability.

What you'll do

Work directly with our CTO on the architecture and scaling of Lio's infrastructure
Design and operate highly reliable cloud infrastructure for production AI workloads
Scale our platform globally with multi-region deployments and high-availability architectures
Optimize databases for agentic AI workloads, including Vector Search, Hybrid RAG, MCP, and high-performance query execution
Improve backend performance, latency, throughput, and resource efficiency
Build observability, SLOs, alerting, and incident response processes
Automate deployments, infrastructure, and developer workflows
Partner closely with product engineering teams to build systems that scale with rapid growth

What we're looking for

Experience operating production workloads on a major cloud platform
Strong Python skills and experience optimizing backend services
Solid understanding of distributed systems, asynchronous processing, and scalable architectures
Experience with monitoring, observability, and incident management
Experience optimizing databases at scale (MongoDB is a plus)
Familiarity with CI/CD pipelines (GitHub Actions preferred)
Passion for automation, infrastructure, and solving complex scaling challenges

Why Lio?

Work directly with our CTO on company-defining infrastructure decisions. Build the foundation for one of Europe's fastest-growing enterprise AI companies. Solve challenging problems around global scaling, reliability, and agentic AI infrastructure. Competitive compensation, meaningful equity, and exceptional teammates. 100% on-site in our Munich office, where we build together every day

Jetzt bewerben

Erweiterte Suche

cloud / platform engineer (m/w/d) Jobs in zorneding

Site Reliability Engineer (SRE) (m/w/d)

Principal Delivery Consultant - GFS, Global Financial Services

Senior Site Reliability Engineer (m/w/d)

Senior AI-Native Fullstack Engineer (m/w/d)

Senior Account Executive, Greenfield Enterprise DE

Senior Professional Services Account Executive, ProServe DEU Central

Software Development Engineer - 2026

Cloud / Platform Engineer (m/w/d)

Senior Cloud Data Platform Engineer (m/w/d)

Platform Engineer (DevOps Engineer / Cloud Engineer / Site Reliability Engineer) (m/w/d)

Software Development Engineer - 2026

AI / Cloud Architect (m/w/d)

Compliance & Security Engineer Public Cloud (m/w/d)

Senior Azure DevOps Engineer (m/w/d)

2026 Software Dev Engineer Intern - Germany

Solution Architect - Agile Teams (w/m/d)

Azure DevOps Engineer (m/w/d)

DevOps Consultant Kubernetes (m/w/d)

Sales Executive – Google Cloud (m/w/d)

Senior Integration & Platform Engineer (m/w/d) – Azure, APIs, Integration

Ich möchte aktuelle Job-E-Mails für Stellen als cloud / platform engineer (m/w/d) in zorneding erhalten

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Build and scale the infrastructure behind enterprise AI.

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