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# DevOps Engineer

- **Company:** Datavisyn GmbH
- **Location:** Linz, Austria (Remote available)
- **Experience:** Expert
- **Salary:** €56,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Bash Shell, Databases, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Visualization, DevOps, Github, Monitoring of Systems, Python (Programming Language), PostgreSQL, Prometheus, Software Engineering, Web Applications, Scripting, ReactJS, Grafana, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, Docker
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7fa8dc5f17620889

## About the Role

We are looking for an experienced DevOps engineer proficient in cutting-edge DevOps technologies to address the increasing demand for our products. You will be part of a team with a flat hierarchy, a great atmosphere, and outstanding employee satisfaction., Education in a technical area (informatics, software engineering, computer science, telematics, etc.)
Knowledge of state-of-the-art CI/CD platforms and tools (Github Actions)
Familiar with cloud platforms like AWS
Knowledge and experience with the setup, implementation and support of containerized environments using Docker, Kubernetes, and Helm
Knowledge and experience with Infrastructure as Code tools like Terraform
Knowledge and experience with monitoring tools (Prometheus, Grafana)
Experience with languages like Bash Shell scripting, Python
Basic understanding of security tools and best practices
Independent and reliable team player
Preferred QUALIFICATIONS
Experience with continuous delivery tools such as ArgoCD
Knowledge of database technologies such as PostgreSQL
Experience with the deployment of modern React web applications, APIs powered by FastAPI, and ETL frameworks like Airflow

## Description

Employment in a growing company
Working with cutting-edge deployment and build technologies
Contribute to our tech stack and infrastructure
Flexible working hours
Remote work for a part of your time
Cooperation with leading research labs in the field of data visualization
Onboarding and training by professional fellows
Your SKILLS


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