About Imagene AI

Imagene was founded with a clear mission to leverage technology in reaching the full potential of personalized medicine for cancer patients. Imagene deep learning technology profiles within minutes a broad range of cancer biomarkers from the digitized biopsy image alone, empowering physicians with immediate oncology intelligence to ensure optimal treatment for all cancer patients.

Imagene's technology classifies patterns that cannot be seen by the human eye resulting in fast and accurate molecular profiling.

We are a diverse startup with a bright, passionate, and, most of all, fun team. Our success derives from our cutting-edge technology and talented multidisciplinary team of data scientists, biologists, software engineers, and medical experts.

Imagene collaborates with top-tier medical centers and pharmaceutical companies worldwide. We were selected for The Marker ‘Most Promising Start-Ups for 2022’, and recognized by Frost & Sullivan for the 2023 Technology Innovation Leadership Award in AI-based molecular testing for cancer diagnosis.

The fight against cancer is profound and the world needs talented and innovative people. If you are looking for a meaningful and challenging job – Join Us!

About the position

Imagene is seeking a skilled and highly motivated DevOps engineer for a dynamic role in shaping Imagene’s products. The environment is exciting, fast-paced, and offers the opportunity to work with cutting-edge technology. Imagene is working with some of the largest players in the health space, thus you’ll have the opportunity to impact many people's lives.

Responsibilities:

• Maintain and improve cloud infrastructure with Terraform and Terragrunt
• Implement and improve monitoring, alerts and observability for Imagene products
• Implement security best practices on cloud infrastructure
• Implement and improve CI/CD workflow processes

Qualifications:

• 4+ years of hands-on experience with Kubernetes, Helm, Terraform, Terragrunt
• 4+ years of hands-on experience with Linux, Docker
• 3+ years of hands-on experience with CI/CD tools (e.g. Gitlab CI, ArgoCD) and Git
• 3+ years of managing live production environments on Cloud infrastructure
• Strong knowledge of AWS, GCP, Azure or OCI with hands-on experience
• Strong experience with monitoring tools
• Experience with scalability, large data, and complex architectures
• Strong motivation to learn new things, a quick learner & a team player
• Proficient in English