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 engineers and am the technical owner of the companies cloud infrastructure that supports our engineering teams and deployments of the Apheris FCP product with global top pharma and lifesciences companies
- Designed, implemented and delivered customer-managed execution environments (Apheris Gateway), spanning infrastructure components and Kubernetes controllers, enabling customers to run sensitive workloads in their own environments without ever exposing data and underpinning Apheris'es data networks
- 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