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In this role, you will design robust infrastructures for processing geospatial data, oversee cloud environments in GCP, and support data pipelines while guiding the team in design and architecture.
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Your role in the team
- Our growing team is looking for a senior software engineer to lead the evolution of the infrastructure that turns our science into trustworthy climate results.
- In this role, you'll own the platform that takes our data, models and estimation methods from R&D to auditable client deliverables, and you'll be a trusted reviewer and guide across software and data engineering.
- As a small team, you'll also shape how we build our geospatial pipelines and internal analytics.
- You'll work closely with fellow software and data engineers, data scientists and solutions engineers, turning research code into robust, reproducible infrastructure.
- You will join a cross-functional, mission-driven team dedicated to bringing transparency and integrity to climate action.
- Shorten the path from experiment to production: own how models and estimation features move from research into reproducible, auditable client deliverables, with data, models and environments versioned end to end.
- Own our developer platform and engineering standards: environments, containers, project templates, CI/CD and pipeline orchestration across a multi-repo Python stack.
- Own our GCP infrastructure: architecture, infrastructure-as-code, monitoring, cost and access management, and its evolution as the company grows.
- Shape our geospatial workflows: how we store and process vector and high-resolution raster data at scale, and how the databases behind our models and deliverables evolve as we scale.
- Be the key reviewer for core and pipeline infra: write design docs for your own areas and review those of others, keeping our architecture coherent as the team grows.
- Raise the bar across engineering: mentor other engineers, and support our software & data engineering team with feedback and guidance on design and architecture.
- Over time, coordinate our infrastructure development goals: set priorities and align work across software and data engineering.
Our expectations of you
Education
- A degree in Software Engineering, Computer Science, or equivalent practical experience.
Qualifications
- A track record of owning systems end to end: you've made architectural decisions and lived with their consequences, written and reviewed design docs, and mentored other engineers.
- Clear, direct communication with both technical and non-technical colleagues, and strong motivation to contribute to sustainable development through technology.
- Previous exposure to earth observation, environmental monitoring or soil science data.
Experience
- 6+ years of experience in engineering roles, including significant time designing and running data-intensive backend systems and pipelines in production.
- Expert in Python and strong SQL skills, with solid experience designing schemas and data models for production systems.
- Hands-on experience with workflow and pipeline tooling (e.g. Airflow, Dagster), experiment tracking and data versioning.
- Hands-on experience running production cloud infrastructure, ideally GCP; infrastructure-as-code (e.g. Terraform/OpenTofu), IAM, as well as containers and reproducible environments (e.g. Docker, devcontainers).
- Deep experience across the software development lifecycle (Python packaging, containers, testing strategies, CI/CD, observability) and opinions on how to do it well.
- Production experience with raster data and geospatial pipelines.
- Experience building model serving, model registries or other MLOps tooling (e.g. DVC, MLFlow).
- Experience building BI or dashboarding tooling (e.g. Streamlit) for non-technical users.
- Experience with data warehouse design (e.g. BigQuery, PostgreSQL, dbt) and data engineering workflows.
What we offer
- Real ownership and influence over technical direction at an early-stage company.
- Be part of a highly motivated, committed, and international team working on one of society's biggest challenges: climate change.
- Witness and shape the evolution of a new business being built.
- An engineering culture built on design docs, thoughtful code reviews, and shared practices.
- Remote-friendly: up to 4 days/week remote when based in Berlin, or fully remote from elsewhere in Germany, with flexible hours.
Topics you will work on
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About your employer
Seqana GmbH, based in Berlin, is an advanced company specializing in the development of solutions for scientifically robust measurement of soil health and carbon binding in soil. By combining remote sensing, satellite imagery, and machine learning, the company provides scalable solutions for the agricultural and food sectors.
- Startup
- Hybrid, Full Remote
- Power Sector, Economy
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