8 beste Stellen als cloud and devops engineer (m/w/d) – in münchen, by – aktuell auf Personalsuche

(Senior) DevOps / Platform Engineer (m/f/d)
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Master
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
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Verimatrix —München
- Vollzeit
- Informatik
- DevOps
- AWS
Direkt bewerben
3 Tage
Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung
BridgingIT GmbH —München
- Vollzeit
- Azure
- AWS
- Künstliche Intelligenz
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Titel Principal DevOps Engineer (all genders)
Expleo Group —München
- Azure
- Informatik
- DevOps
- Gleitzeit
- Homeoffice-Möglichkeit
(Senior) MLOps Engineer (m/w/d)
OMMAX GmbH —München
- Azure
- Informatik
- DevOps
Kubernetes Administrator/Private Cloud Engineer (m/w/d)
virtual7 GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
1 Tag
Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA
Mistral AI —München
- Vollzeit
- Azure
- Informatik
- DevOps
1 Tag
Applied AI Engineer, Site Reliability Engineer - EMEA
Mistral AI —München
- Vollzeit
- Azure
- Master
- AWS
1 Tag

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cloud and devops engineer (m/w/d) – jobs near münchen, by

(Senior) DevOps / Platform Engineer (m/f/d)

KINEXON
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents
Flexible Arbeitszeiten

Qualifikationen

CI/CD
Go
Kubernetes
DevOps
Master
AWS
Terraform
APIs
Vue.js
TypeScript
GitLab
Identitätsmanagement

Vollständige Stellenbeschreibung

KINEXON is a global location-based technology leader that develops groundbreaking hardware and software solutions for the Internet of Things (IoT). Our vision is to provide a real-time intelligence solution for a connected and automated world. Wherever assets, people or operations are in motion, we can improve and automate the underlying processes, creating powerful results for our customers.

THE TEAM AND ITS MISSION

KINEXON manages hundreds of active customer installations around the globe, running in heterogeneous and demanding environments. Our infrastructure team builds and operates the cloud infrastructure that powers these deployments — ensuring they are reliable, observable, and scalable as KINEXON grows

YOUR TASKS AND RESPONSIBILITIES

Design, build, and operate the infrastructure behind KINEXON's cloud platform — from CI/CD pipelines to production Kubernetes clusters
Develop and maintain infrastructure as code using Terraform to provision and manage cloud resources on AWS
Own the Kubernetes platform: cluster lifecycle, deployment strategies, Helm charts, networking, and security policies
Build internal tooling and backend services in Go to automate platform operations and support developer workflows
Operate and evolve our observability stack (Prometheus, Grafana, VictoriaMetrics, Sentry) — dashboards, alerting, and incident response
Maintain and improve our GitLab CI/CD build infrastructure, including runner fleets, pipeline templates, and artifact management
Collaborate with product engineering teams on containerization, release processes, and production readiness
Participate in architecture discussions, document infrastructure decisions, and present platform changes to internal stakeholders

YOUR PROFILE

You have at least 5 years of professional experience in DevOps, Platform Engineering, or Site Reliability Engineering
You have strong hands-on experience with Kubernetes in production — deploying, scaling, debugging, and securing containerized workloads
You write infrastructure as code with Terraform and understand state management, module design, and drift handling
You have worked extensively with AWS (or a comparable hyperscaler) and are comfortable with networking, IAM, and managed services
You are proficient in Go for building backend services, CLIs, and automation tooling
You have operated observability stacks (Prometheus, Grafana, VictoriaMetrics, or similar) and know how to design meaningful alerts and dashboards
You have built and maintained CI/CD pipelines and their underlying infrastructure, preferably in GitLab
You are comfortable working in Linux environments and debugging distributed systems at the network, container, and application level
You have practical experience with AI/LLM technologies — using AI-assisted coding tools, integrating LLM APIs into products, or deploying AI-powered tooling for engineering teams
Experience with frontend / SPA development (Vue.js, TypeScript) is a plus
You communicate well, show a hands-on mentality, and take ownership of your work
You are fluent in English; German is a plus

YOU CAN LOOK FORWARD TO THIS WITH US

At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.

Become part of our team and enjoy the following benefits:

#Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
#WeCare – take your time off for the family (parental leave etc.)
#WorkingHours – Early bird or night owl - you can choose your flexible work hours.
#FlexibleLocation – we work with a hybrid and remote model.
#OneTeam - We enjoy spending time together at regular team and company events.
#OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more)

If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.

ABOUT US

KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we're hiring ambitious talent ready to shape the future of physical AI.

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cloud and devops engineer (m/w/d) – Jobs in münchen, by

(Senior) DevOps / Platform Engineer (m/f/d)

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

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Kubernetes Administrator/Private Cloud Engineer (m/w/d)

Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

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