Job
- Level
- Experienced
- Job Field
- IT, Software, DevOps
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Friedrichshafen
- Working Model
- Onsite
Job Summary
In this position, you build and operate cloud-based development and testing environments for AI applications, implement CI/CD pipelines, and optimize Kubernetes clusters for military simulations.
Job Technologies
Your role in the team
- We develop military simulation environments for studies and research projects, which are used for analysis and AI training.
- Using Machine Learning/Deep Learning approaches, we develop AI methods for autonomous planning and decision-making under uncertain conditions and in complex operational, military situations.
- We implement and test cutting-edge Deep Reinforcement Learning approaches for use in military environments, enabling our AI applications to be optimized safely, data-efficiently, and reliably.
- We publish the groundbreaking results at international conferences (e.g., Using DeepMind's AlphaStar techniques to support military decision-makers).
- As a Cloud Platform Engineer (m/f/d), you are responsible for the development, automation, and stable operation of cloud-based development, testing, and production environments - particularly in the context of AI applications.
- You will play a key role in shaping the cloud infrastructure and ensure scalable, secure, and highly available platforms using modern DevOps and GitOps principles.
- Your work directly contributes to efficient and high-quality software delivery.
- You work in our young and agile research department on interesting study and research projects for the Bundeswehr, NATO, and the European Union in the field of security and defense.
- Respect, teamwork, and creativity are the core values of our department.
- As a university department, we are also involved in innovation activities in the fields of artificial intelligence and quantum computing.
- Operation & Management of Kubernetes Clusters: Setting up, maintaining, and scaling Kubernetes clusters, e.g., with Ubuntu and Microk8s.
- Ensuring high availability, monitoring, patch management, and cluster stability.
- CI/CD & GitOps Pipelines: Design, implementation, and optimization of automated CI/CD pipelines (e.g., with GitLab) within the framework of a GitOps strategy.
- Definition and maintenance of deployment manifests for applications and infrastructure in Git repositories.
- Infrastructure as Code (IaC): Automation of environment configuration using Terraform, Ansible, Helm, and other IaC tools.
- Monitoring, Logging & Observability: Development and operation of a comprehensive monitoring and logging system based on Prometheus, Grafana, and other tools for proactive system monitoring and performance optimization.
- Security & Compliance (DevSecOps): Integration of security and compliance checks into the CI/CD pipeline ("Security-by-Design").
- Introduction and operation of Zero Trust architectures, Secret Management (e.g., HashiCorp Vault, Sealed Secrets), as well as Identity and Access Management (IAM) with Keycloak or LDAP/OIDC.
- Test Strategy & Automation: Development and implementation of a comprehensive test strategy including automated test frameworks for unit, integration, and end-to-end tests.
- Container & Cloud-Native Technologies: Experienced in handling Docker, Linux containers, and cloud technologies.
- Application of Helm and MLOps principles to support AI applications in Kubernetes.
- Microservices & Cloud Architectures: Understanding modern architectures such as microservices and cloud-native applications.
- Collaboration & Teamwork: Close cooperation with development, security, and product teams - nationally and internationally.
- Willingness to collaborate across locations, possibly involving travel for installations of air-gapped solutions at the customer's site.
- Coordination in simulation-supported study and research projects.
- Responsibility for the implementation of work packages within time, cost, and quality parameters.
- Independent technical communication with other departments and project partners (industry, scientific institutes).
- Preparation of offers for work packages (scope, time, costs).
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Our expectations of you
Education
- Successfully completed university studies (diploma/master's) in Computer Science with a specialization in Artificial Intelligence (AI) and/or Simulation.
Qualifications
- Good knowledge in: Kubernetes (Cluster Management, Helm, RBAC, Operator Models), Containerization, CI/CD and GitOps tools (e.g., GitLab or Jenkins), Monitoring & Logging (Prometheus, Grafana, Loki, etc.), Infrastructure as Code (Terraform, Ansible, Helm).
- Good programming skills, especially in Python.
- Proficient in Linux systems and shell scripting.
- In-depth understanding of cloud platforms, microservices, and MLOps.
- Fluent in German and English, both written and spoken.
- Team-oriented, communicative, solution- and quality-focused - with a passion for innovative technologies and continuous improvement.
- You enjoy sharing knowledge and continuously acquiring new knowledge.
- Very good knowledge in: Kubernetes (cluster management, Helm, RBAC, operator models), containerization, CI/CD and GitOps tools (e.g., GitLab or Jenkins), monitoring & logging (Prometheus, Grafana, Loki, etc.), Infrastructure as Code (Terraform, Ansible, Helm).
- Solid programming skills, especially in Python.
Experience
- Initial practical experience in: Secret Management (e.g., HashiCorp Vault, External Secrets), IAM solutions (Keycloak, LDAP, OIDC), security integration in CI/CD pipelines, Agile methodologies (Scrum, Kanban).
- Good practical experience in: Secret Management (e.g., HashiCorp Vault, External Secrets), IAM solutions (Keycloak, LDAP, OIDC), security integration in CI/CD pipelines, Agile methodologies (Scrum, Kanban).
- With extensive experience, taking on a broader range of responsibilities is possible.
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What we offer
- This position is also available with reduced weekly working hours and an adjusted scope of responsibilities.
- At the Airbus site in Friedrichshafen, you work where the future of Connected Intelligence, Space, and Air Power is being created.
- In an environment that offers foresight, you shape technological innovations across domains.
- Our location thrives on dialogue: on campus, you will encounter a unique network of experts in satellite technology, military aviation, cyber security, artificial intelligence, as well as the combat cloud and ground support of tomorrow.
- Our collaboration is also characterized by dynamism - in agile teams, we tackle the most complex issues, from AI-powered Earth observation to secure cloud architecture.
- Those seeking technological excellence and interdisciplinary collaboration will find the ideal environment here.
- Attractive compensation and special payments.
- 30 days of vacation and additional days off for special occasions.
- Excellent opportunities for further training and great international, company-wide development prospects.
- Special benefits: employer-funded retirement plan, employee stock options, discounted car leasing, special rates for insurance, subsidies for public transportation, employee perks with partner companies.
- On-site facilities: nearby kindergarten, doctor for check-ups and other health-related services, canteen and cafeteria with lake view.
- Company sports groups and leisure activities such as sailing, tennis, and winter sports.
- Work-life balance (job sharing, part-time models, flexible working hours, individual leave).
- Working in a diverse environment with over 140 nationalities, where every voice is heard.
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This is your employer
Airbus Deutschland GmbH
Airbus is the world's leading provider of air and space transportation, as well as related services.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5
Cloud Platform Engineer
- Location
- Friedrichshafen
- Working Model
- Onsite
- Diversity
- Open for all genders
