Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 56.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du Deep Learning Anwendungen für Computer Vision und automatisierst die Bereitstellung, während du CI/CD-Pipelines designst und wartest, um zuverlässige Prozesse in Cloud- und On-Premise-Umgebungen zu gewährleisten.
Job Technologien
Deine Rolle im Team
- Work within our development teams to develop, test, and deploy Deep Learning Computer Vision applications for tolling and traffic solutions, on-premises or cloud environments.
- Prioritize, estimate, plan, and coordinate DevOps activities across multiple projects.
- Design, implement, and maintain CI/CD pipelines (GitLab preferred) to ensure efficient and reliable delivery processes.
- Automate deployment, provisioning, and configuration (Ansible).
- Design, develop, and maintain deep learning build and evaluation pipelines.
- Automate deployment, testing, and monitoring processes, including end-to-end, regression, and performance testing.
- Support System Integration Testing and ensure reliable deployments in customer environments.
- Identify, document, and track issues, collaborating closely with developers and system engineers to ensure quick resolution.
- Support and maintain existing customer environments, ensuring scalability, performance, and troubleshooting of running solutions.
- Evaluate existing customer solutions to improve performance and support the preparation of AI training footage.
- Contribute to a culture of continuous improvement, knowledge sharing, and adoption of DevOps best practices.
Unsere Erwartungen an dich
Ausbildung
- Degree in Computer Science, Software Engineering, or equivalent practical experience.
Qualifikationen
- Strong Linux knowledge and scripting skills.
- Solid programming / scripting skills (ideally in Python).
- Familiarity with SQL/NoSQL databases and cloud environments (AWS, Azure, GCP).
- Good problem-solving skills, structured working style, and ability to collaborate across teams.
- Strong English communication skills; German is a plus.
Erfahrung
- Solid experience with DevOps tools and practices, including automation, deployment, and testing.
- Hands-on experience with Ansible, Docker, Grafana, and monitoring stacks.
- Experience in setting up and running CI/CD pipelines (GitLab preferred).
- Experience with Computer Vision or Deep Learning.
- Experience with web development.
Unser Angebot
- We have a unique corporate culture, driven by family tradition since 1892.
- We strive to create a work environment conducive to personal growth, satisfaction and achievement.
- You will be part of an international company with European roots and our Computer Vision Team.
- A hands-on onboarding with an experienced team to get familiar with the business and domain-related processes.
- Social benefits of a modern company, e.g. Homeoffice, mobile devices, flexible working hours, operating restaurants, meal discount, bridge day regulation etc.
- Possibility to participate in regular trainings (technical and personal development).
- A market compliant gross salary of EUR 56,000 p.a. based on a full-time employment, which can be adapted according to your qualifications and your job experience.
- Location: Vienna.
- Start date: as soon as possible, full time position.
Benefits
Essen & Trinken
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Kapsch Aktiengesellschaft
Klagenfurt, Graz, Innsbruck, Dornbirn, Salzburg, Wien, Wien, Wien, Leonding
Kapsch ist ein erfolgreiches Technologieunternehmen Österreichs mit weltweiter Bedeutung in den Zukunftsmärkten Intelligente Verkehrssysteme (IVS) und Informations- und Kommunikationstechnologie (IKT).
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1892
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom