Staff Engineer at Apheris AI GmbH (Berlin / Remote)
Building a secure platform for distributed computations to enable federated learning in regulated and IP sensitive industries.
- Having built the infrastructure function at Apheris, I currently lead a team of 3 infrastructure engineers and am the technical owner of the cloud infrastructure that supports internal product teams and deployments with global top pharma and lifesciences companies
- Design, implementation and delivery of customer-managed execution environments (Apheris Compute Gateway), spanning infrastructure components and Kubernetes controllers, enabling customers to run sensitive workloads in their own environments without exposing raw data
- Scaled cloud infrastructure from MVP to production platform, standardizing infrastructure-as-code and deployment patterns to support multi-region deployments
- Drove the introduction and adoption of Go as first-class language for development by seeding adoption via a champions group, introducing shared components, and running recurring internal training, leading to organization-wide usage.
- Influenced engineering quality and hiring by leading interview loops (> 70 interviews) across multiple engineering functions and onboarding new engineers.