12 beste Stellen als software engineer frontend in münchen, by – aktuell auf Personalsuche

(Senior) DevOps & Backend Engineer (m/f/d) (Go)
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Expert Senior Manager Software Engineering
Bain & Co. —München
- Vollzeit
- Informatik
- Master
- Mit Reiseanteil
Direkt bewerben
Head of Product (all genders)
Kertos GmbH —München
- Vollzeit
Direkt bewerben
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RobCo —München
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- Flexible Arbeitszeiten
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Development Engineer Production (m/f/d) - Fokus Hardware
Quantum-Systems GmbH —Gilching
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- Bachelor
- Flexible Arbeitszeiten
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Engineering Lead (f/m/d)
LIQID Investments GmbH —München
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Pennylane SAS —München
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Development Engineer Production – Automated Testing (f/m/d)
Quantum-Systems GmbH —Gilching
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Senior Go Developer (f/m/d) – Focus on gRPC & Enterprise Applications
Natuvion GmbH —München
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- Homeoffice
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Software Engineer - Frontend
Helsing —München
Direkt bewerben
Software Engineer II, Full Stack, Core Systems
Google —München
- 86.000 € – 88.000 € pro Jahr
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AI Software Engineering
Avanade —München
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- Bachelor
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2 Std.

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(Senior) DevOps & Backend Engineer (m/f/d) (Go)

KINEXON
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents
Flexible Arbeitszeiten

Qualifikationen

Master

Vollständige Stellenbeschreibung

ABOUT THE TEAM

We are a dynamic, international team developing a UWB-based Real-Time Locating System (RTLS) that powers solutions for industrial applications. To achieve the precision and scalability required for modern IoT solutions, we build a full stack of software components, including firmware, backend, and frontend applications.

Join our team to scale existing solutions and create innovative KINEXON products in close collaboration with colleagues from our software and hardware departments.

YOUR QUALIFICATIONS

For this opportunity, we are looking for a mid-level or senior engineer with a strong DevOps focus and solid backend development experience:

Several years of experience in DevOps, cloud operations, and backend development
Hands-on experience operating Kubernetes-based workloads in AWS
Experience maintaining staging and production environments, including deployments, monitoring, and operational reliability
Experience with infrastructure as code, containerization, GitOps-style workflows, and CI/CD processes
Good understanding of observability, alerting, troubleshooting, caching, messaging, and scalable backend services
Very good English skills and the ability to collaborate in an international engineering environment

YOUR TASKS

As a DevOps and backend engineer in our agile RTLS team, you will:

Maintain and improve our staging and production AWS/Kubernetes setup
Support reliable deployments, configuration changes, monitoring, alerting, and day-to-day operations
Help scale our AWS and Kubernetes setup as product and customer needs grow
Investigate incidents, improve operational stability, and make the setup easier to run and maintain
Design, implement, and maintain backend services where they connect closely with infrastructure, scalability, and product needs

OUR TECH STACK

Our stack combines cloud operations with backend service development. You should be comfortable working with technologies and concepts such as:

DevOps and operations: AWS, Kubernetes, Docker, Terraform, GitOps-style workflows, and CI/CD processes
Reliability: deployments, monitoring, alerting, troubleshooting, incident response, and cost-aware scaling
Backend development: Go, APIs, Protobuf, Redis or comparable caching solutions, MQTT-compatible messaging, and distributed service design
Technology evolution: introduce new technologies and modernize outdated tools where they improve reliability, scalability, maintainability, or cost efficiency
Optional frontend: Vue.js, Node.js, or similar technologies

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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software engineer frontend Jobs in münchen, by

(Senior) DevOps & Backend Engineer (m/f/d) (Go)

Expert Senior Manager Software Engineering

Head of Product (all genders)

Engineering Manager

Development Engineer Production (m/f/d) - Fokus Hardware

Engineering Lead (f/m/d)

Engineering Manager

Development Engineer Production – Automated Testing (f/m/d)

Senior Go Developer (f/m/d) – Focus on gRPC & Enterprise Applications

Software Engineer - Frontend

Software Engineer II, Full Stack, Core Systems

AI Software Engineering

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