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# DevOps Engineer (all genders)

- **Company:** Kapsch TrafficCom
- **Location:** Wien, Austria (Remote available)
- **Salary:** €56,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Vision, Microsoft Azure, Linux, DevOps, Web Development, Python (Programming Language), NoSQL, Ansible, Software Engineering, SQL Databases, System Integration Testing, Scripting, Google Cloud, Cloud Platform System, Performance Testing, Grafana, Deep Learning, Gitlab, Information Technology, Deployment Automation, Docker
- **Published:** July 14, 2026
- **Apply:** https://www.adzuna.at/details/5756979371

## About the Role

* 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

## Description

* 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.


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