Seqana develops soil carbon monitoring, reporting, and verification (MRV) software for regenerative agriculture. The EU-funded earth observation and machine learning company builds tools designed to make soil carbon measurement more affordable, faster, and repeatable. Its platform helps partners assess carbon outcomes and support the growth of carbon offset programs and regenerative farming practices.
Senior Software Engineer, Data Platform
Build Seqana’s climate data platform to deliver reliable, auditable soil carbon results. Lead GCP infrastructure, Python pipelines, geospatial workflows, and engineering practices.
Description
- Advance infrastructure that turns scientific work into dependable climate results.
- Lead the platform that takes data, models, and estimation methods from research and development through to auditable client deliverables.
- Maintain end-to-end versioning for data, models, and environments.
- Set direction for developer platforms and engineering practices across a multi-repository Python stack, including environments, containers, project templates, CI/CD, and pipeline orchestration.
- Lead GCP infrastructure, covering architecture, infrastructure as code, monitoring, cost and access management, and ongoing development.
- Develop geospatial workflows to store and process vector and high-resolution raster data at scale.
- Improve the databases that support models and client deliverables.
- Write design documents and review designs for core and pipeline infrastructure.
- Mentor engineers and give design and architecture feedback across software and data engineering.
- Coordinate infrastructure goals, prioritize work, and align software and data engineering efforts.
- Work with software engineers, data engineers, data scientists, and solutions engineers.
- Turn research code into reliable, reproducible infrastructure.
Requirements
- At least six years in engineering, including substantial experience designing and operating production data-intensive backend systems and pipelines.
- Demonstrated end-to-end system ownership, architectural decision-making, design document authorship and review, and engineer mentorship.
- Expert-level Python and strong SQL skills.
- Experience designing production schemas and data models.
- Practical experience with workflow and pipeline tools such as Airflow or Dagster.
- Experience with experiment tracking and data versioning.
- Hands-on experience operating production cloud infrastructure, ideally on GCP.
- Experience with infrastructure-as-code tools such as Terraform or OpenTofu.
- Experience with IAM, containers, and reproducible environments such as Docker or devcontainers.
- Broad software development lifecycle experience, including Python packaging, containers, testing, CI/CD, and observability.
- Clear, direct communication with technical and non-technical colleagues.
- Strong motivation to advance sustainable development through technology.
- A degree in Software Engineering or Computer Science, or equivalent practical experience.
- Production experience with raster data and geospatial pipelines is a standout qualification.
- Experience building model serving, model registries, or MLOps tools such as DVC or MLflow is a standout qualification.
- Experience creating BI or dashboard tools for non-technical users, such as Streamlit, is a standout qualification.
- Experience with data warehouse design using tools such as BigQuery, PostgreSQL, or dbt, and data engineering workflows is a standout qualification.
- Prior exposure to earth observation, environmental monitoring, or soil science data is a standout qualification.
Benefits
- Permanent employment under an open-ended contract.
- Six-month probation period.
- 40-hour workweek.
- 30 days of annual leave.
- Meaningful ownership and influence over technical direction at an early-stage company.
- A motivated, committed, international team.
- The opportunity to see and shape a new business as it develops.
- An engineering culture centered on design documents, considered code reviews, and shared practices.
- Remote-friendly arrangements: up to four remote days per week for employees based in Berlin, or fully remote work from elsewhere in Germany, with flexible hours.
- Drinks and snacks.
- Team events.
- Choice of hardware.