Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Gilching
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du automatisierte, Kubernetes-basierte Plattformen für Machine Learning, verbesserst ML-Workflows und gestaltest robuste Cloud-Infrastrukturen in einer globalen Umgebung.
Job Technologien
Deine Rolle im Team
- As a Platform Engineer - Cloud & ML Platform (m/f/d), you will be a key contributor to the cloud-native infrastructure that powers our AI and autonomy development at global scale.
- You will design, deploy, operate, and continuously improve Kubernetes-based platforms that enable our teams to train, evaluate, deploy, and monitor machine learning workloads reliably across regions, clouds, and compute environments.
- You will work closely with AI engineers, data engineers, software teams, security, IT, and product stakeholders to provide robust, automated, and developer-friendly infrastructure for large-scale ML workloads.
- Your work will directly support our mission to push the boundaries of autonomous systems through cutting-edge software, edge computing, and real-time AI-powered data processing.
- Design, deploy, operate, and continuously improve Kubernetes-based platforms for machine learning and data-intensive workloads.
- Build and maintain globally distributed Kubernetes clusters with a strong focus on reliability, scalability, security, and observability.
- Own the lifecycle management of ML platform components, including Kubeflow, Metaflow, workflow orchestration, experiment tracking, and related MLOps tooling.
- Enable AI and data teams to run scalable training, inference, evaluation, and data processing pipelines across heterogeneous compute environments.
- Develop infrastructure-as-code, automation, and GitOps workflows to ensure reproducible, auditable, and efficient platform operations.
- Manage GPU-enabled workloads, scheduling, storage, networking, secrets, access control, and cost-aware resource utilization.
- Improve platform resilience through monitoring, alerting, incident response, backup strategies, disaster recovery, and capacity planning.
- Collaborate with AI, software, DevOps, security, and IT teams to define platform standards, best practices, and deployment patterns.
- Support hybrid and multi-cloud infrastructure scenarios, including on-premise, private cloud, and public cloud environments.
- Evaluate and integrate cloud providers and infrastructure technologies, including Azure, AWS, Telekom Cloud, or comparable platforms.
- Continuously improve developer experience for ML engineers through self-service tooling, documentation, templates, and platform abstractions.
- Help bring AI capabilities from prototype to production by providing a reliable, scalable, and secure ML infrastructure foundation.
Unsere Erwartungen an dich
Qualifikationen
- Strong hands-on expertise with Kubernetes in production environments, including cluster operations, networking, storage, security, scaling, upgrades, and troubleshooting.
- Solid understanding of MLOps workflows, including training pipelines, model lifecycle management, artifact handling, experiment tracking, reproducibility, and deployment automation.
- Good understanding of cloud-native observability, including metrics, logs, traces, alerting, dashboards, and SLO-driven operations.
- Familiarity with cloud platforms such as Azure, AWS, Telekom Cloud, GCP, OpenStack, or comparable private/hybrid cloud environments.
- Strong scripting or programming skills in Python, Go, Bash, or a comparable language.
- Ability to analyze complex infrastructure issues, drive root-cause analysis, and implement robust long-term solutions.
- Structured, analytical mindset with a hands-on attitude and a strong sense of ownership.
- Strong communication skills and the ability to work with globally distributed engineering teams.
- Communication in English is a matter of course for you.
Erfahrung
- Proven experience deploying and maintaining globally distributed, large-scale clusters for production or mission-critical workloads.
- Strong experience with Kubeflow and Metaflow in production or production-like ML platform environments.
- Experience operating GPU-enabled Kubernetes environments and supporting high-performance machine learning workloads.
- Strong infrastructure-as-code experience using tools such as Terraform, Helm, Kustomize, Argo CD, Flux, Crossplane, Ansible, or comparable technologies.
- Experience with containerization, CI/CD, GitOps, secrets management, identity and access control, and secure platform operations.
Unser Angebot
- Company pension scheme: We support you so that you can already make provisions for later.
- Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
- Mobile Work: If things get a little busy in the office, you have the option to work remotely one flexible day per week to create the right balance.
- Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities - and of course, we subsidize the membership.
- Bike-Leasing: We support you in staying environmentally mobile and healthy.
- Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
- Employee events: We not only want to grow together, but also celebrate our successes together.
- Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored.
- Company Shuttle: Enjoy our convenient shuttle service that picks you up from Pasing in Munich and brings you to our location, with return trips at the end of the workday.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Quantum-systems Gmbh
Quantum-Systems GmbH hat im Januar 2015 damit begonnen, sich auf die Entwicklung und Produktion autonomen Übergangsflugzeuge für zivile Zwecke zu konzentrieren.
Description
- Unternehmensgröße
- 50-249 Employees
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Industrie, Produktion, Luft-, Raumfahrt
Senior Platform Engineer - Cloud & ML Platform
- Ort
- Gilching
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
