Teams at Seqana GmbH

Own and evolve the platform that turns research models and data into reproducible, auditable client deliverables. Lead Python-based data infrastructure, CI/CD, pipeline orchestration, GCP architecture, infrastructure-as-code, monitoring, access management, and geospatial workflows. Review designs, establish engineering standards, mentor engineers, and coordinate infrastructure priorities. The role also involves production data systems, schema design, model versioning, containers, observability, and collaboration with software, data, science, and solutions teams.

Own end-to-end client projects measuring soil carbon, including scoping, sampling design, spatial analysis, estimation, reporting, and presentations. Develop reproducible Python and geospatial workflows, improve shared codebases and methodologies, validate models, assess uncertainty, and translate project learnings into product improvements. Collaborate with business development, data science, engineering, and clients while applying rigorous science to real agricultural and environmental data.