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 using 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. Qualifications
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. Experience with web development. Benefits
Unique corporate culture, driven by family tradition since 1892. Work environment conducive to personal growth, satisfaction and achievement. 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 full‑time employment, which can be adapted according to your qualifications and your job experience. Location: Vienna. Start date: as soon as possible. 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.
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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 using 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. Qualifications
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. Experience with web development. Benefits
Unique corporate culture, driven by family tradition since 1892. Work environment conducive to personal growth, satisfaction and achievement. 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 full‑time employment, which can be adapted according to your qualifications and your job experience. Location: Vienna. Start date: as soon as possible. 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.
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