DevOps Engineer
Full\-time/Part\-time
Experienced/Senior
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.
Our software solutions support the world’s leading pharmaceutical companies in the early phases of drug development, where the task is to search large and complex amounts of data for targets for the drugs of tomorrow. The aim is to make the discovery and development of new drugs and treatments faster, more reliable, and affordable.
We are seeking a colleague who can think ahead and be proactive to keep datavisyn on the cutting edge. The target compensation for this position is up to € 56,000 per year for a full\-time position. The compensation package will be adjusted to your qualifications and experience. We are looking forward to hearing from you via career@datavisyn.io.
Your BENEFITS
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
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
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