Senior Platform Engineer, Aignostics

• Proven experience: 5+ years in platform engineering, with a proven track record in managing complex, cloud-native infrastructure
• Technical expert: work with Kubernetes, Docker, Terraform, and Cloud Environments, with a deep understanding of CI/CD processes and tools
• Excellent coder: automate with strong programming and scripting abilities, preferably in Go/Python and bash
• Network architect: get our services flying by leveraging technologies like TCP/IP Stack, DNS, Loadbalancing and Firewalls
• Outstanding communicator: ability to explain complex technical concepts, drive decisions, and collaborate across teams (fluent in English, German is a plus)
• Self-driven learner: stays current with technology trends, evaluates new solutions (including AI), and grows with our challenges
• Live the Devops Culture: Educating our developers on core principles, implementing collaborative processes, and providing the necessary tools and frameworks that enable them to do so

Desirable

• As a Senior Platform Engineer at Aignostics, you work hand in hand with our teams and external collaborators in academia and industry to push the state of the art for digital pathology
• Together with your colleagues you will take care of a variety of external and internal services
• You'll be responsible for conceptualizing, leading, and owning projects that enhance scalability for data-intensive AI training, improve system observability, and elevate the daily experience of our application developers
• This is a unique opportunity to join a fun, diverse, and growing team of 100+ data scientists, software developers, biologists, and pathologists to shape the next generation of cancer treatments
• You will be part of a driven community that works in an agile, supportive and interdisciplinary research environment where your results make a difference to patients
• In our established startup you have the opportunity to grow personally and technically, take responsibility and benefit from a dynamic work environment
• Introduce, implement and own architectural solutions of our Kubernetes clusters, internal services, and cloud-based infrastructure to improve our developer’s experience
• Identify & Automate workflows and processes leveraging from event driven pipelines like Gitlab CICD or Argo Workflows
• Introduce and drive the security of our applications and data by implementing state of the art security concepts in Kubernetes and cloud environments
• Work closely with the engineering and data science teams to bring our products and AI model training to its excellence
• Propose and drive the adoption of best practices in infrastructure management, scalability, and security