DevOps Engineer (all genders)

Kapsch Aktiengesellschaft

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

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. To learn more about our solutions and innovations, visit our website here.

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

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 or 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

Bewerben

.js-only-skeleton { display: none !important; }

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

The Benefits of working for the Kapsch Group

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

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

.js-only-skeleton { display: none !important; }

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

The Benefits of working for the Kapsch Group

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

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Kapsch Aktiengesellschaft

Wien

Klicke hier,
um mit der Karte zu interagieren.

Hauptstandort

Kapsch Aktiengesellschaft

Am Europlatz 2
1120 Wien
Österreich

DevOps Engineer (all genders)

Kapsch Aktiengesellschaft

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

The Benefits of working for the Kapsch Group

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

Bewerben

.js-only-skeleton { display: none !important; }

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

The Benefits of working for the Kapsch Group

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

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

.js-only-skeleton { display: none !important; }

DevOps Engineer (all genders)

Location: Vienna

Start date: as soon as possible, full time position

How You'll Make an Impact

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.

What Makes You a Great Fit

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 and 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 to You

Unique corporate culture driven by family tradition since 1892 and a work environment conducive to personal growth, satisfaction and achievement.
Part of an international company with European roots and the Video & Image Analytics Team.
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. home office, mobile devices, flexible working hours, operating restaurants, meal discount and bridge day regulation.
Possibility to participate in regular trainings for technical and personal development.
A market compliant gross salary of EUR 56,000 p.a. based on full-time employment, adaptable according to qualifications and job experience.

The Benefits of working for the Kapsch Group

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

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Kapsch Aktiengesellschaft

Wien

Klicke hier,
um mit der Karte zu interagieren.

Hauptstandort

Kapsch Aktiengesellschaft

Am Europlatz 2
1120 Wien
Österreich