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DevOps Engineer Deep Learning / Computer Vision (all genders)
Kapsch Group
Österreich, Wien
Full-time
Home office possible
Hybrid
Tasks
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.
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.
Beneficial: Experience with Computer Vision or Deep Learning
Beneficial: Experience with web development
We offer
Unique corporate culture, driven by family tradition since 1892, creating a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Computer Vision Team
Hands-on onboarding with an experienced team to get familiar with the business and domain-related processes
Social benefits of a modern company: Homeoffice, mobile devices, flexible working hours, operating restaurants, meal discount, bridge day regulation
Possibility to participate in regular trainings (technical and personal development)
Market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and experience
Location: Vienna
Start date: as soon as possible, full time position
DevOps Engineer Deep Learning / Computer Vision (all genders) in Wien
Kapsch Group
Show more details
Full job description
Vienna
Permanent employment
Full-time
Home office possible
Austria
Tasks
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.
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.
Beneficial: Experience with Computer Vision or Deep Learning
Beneficial: Experience with web development
We offer
Unique corporate culture, driven by family tradition since 1892, creating a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Computer Vision Team
Hands-on onboarding with an experienced team to get familiar with the business and domain-related processes
Social benefits of a modern company: Homeoffice, mobile devices, flexible working hours, operating restaurants, meal discount, bridge day regulation
Possibility to participate in regular trainings (technical and personal development)
Market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and experience
Location: Vienna
Start date: as soon as possible, full time position
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