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DevOps Engineer (all genders)
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Experience with Computer Vision or Deep Learning. Degree in Computer Science, Software Engineering, or equivalent practical experience.
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DevOps Engineer (all genders)

Kapsch TrafficCom AG -
Wien, W

Direkt bewerben

Details zur Stelle

Vollzeit
vor 20 Stunden

Vollständige Stellenbeschreibung

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

Your Responsibilities

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.

Your Profile

Degree in Computer Science, Software Engineering, or equivalent practical experience.
Solid experience with DevOps tools and practices, including automation, deployment, and testing.
Strong Linux knowledge and scripting skills.
Solid programming / scripting skills (ideally in Python)
Hands-on experience with Ansible, Docker, Grafana, and monitoring stacks
Familiarity with SQL/NoSQL databases and cloud environments (AWS, Azure, GCP).
Experience in setting up and running CI/CD pipelines (GitLab preferred).
Good problem-solving skills, structured working style, and ability to collaborate across teams.
Strong English communication skills; German is a plus.

Preferred Qualifications

Experience with Computer Vision or Deep Learning
Experience with web development

Our Offer

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 you will be part of an international company with European roots and our Video & Image Analytics 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
The Benefits of working for the Kapsch Group

Kapsch is proud to be an equal opportunity employer. We attach great importance to a balance in the diversity of our employees. Therefore we welcome all applications without regard to gender, age, religious beliefs/ideology, sexual orientation, ethnicity or national origin.

Your contact for this position: Tatiana Rezan-Sirotinskis, Talent Attraction Partner Austria, P +43 50 811 1906 | M +43 664 6281906

Direkt bewerben

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