Software Engineer developing ML and geospatial systems for climate action startup. Improving data pipelines and cloud infrastructure for soil carbon quantification.
Responsibilities
Own and improve our ML training and evaluation pipelines, making them more reliable, flexible, and easier to extend
Improve configuration, maintainability, and traceability of our ML workflows (e.g., parameter handling, experiment tracking, pipeline design)
Reduce complexity and improve reliability in our Google Earth Engine (GEE) feature pipeline
Contribute to the development of our geospatial data infrastructure, extending our capacity to store and process vector files, as well as high-resolution raster datasets
Own and improve our CI/CD and testing strategy, supporting integration tests, dependency upgrades, and stronger release hygiene
Support with further development of our GCP infrastructure, adapting our architecture, monitoring and access management to evolving needs
Requirements
A degree in Software Engineering, Computer Science, or a related field, with strong foundational knowledge in software development
3+ years (mid-level) or 5+ years (senior) of experience in engineering roles building backend applications and pipelines for data- or ML-intensive systems
Full proficiency in Python, solid knowledge of SQL, and working knowledge of orchestration tools such as Airflow
Experience with production ML systems, including training and evaluation pipelines, and collaboration with data scientists
Familiarity with cloud platforms (ideally GCP), including infrastructure-as-code, IAM, and system monitoring
Strong experience in software development lifecycle and operations (version control, testing, CI/CD)
A strong sense of ownership and ability to work independently in a fast-paced, collaborative environment, comfortable navigating ambiguity and evolving priorities
Clear communication and a readiness to take initiative in technical design discussions
Motivation to contribute to climate action and sustainable development through a rapidly evolving technology space.
Benefits
30 days PTO
500,00 € training budget to use for your professional self-improvement
Senior Software Architect designing and developing Java - based backend systems. Leading technical teams and collaborating on modular service architecture for aixigo's platform.
Full - Stack Software Engineer shipping user - facing features for an educational technology company serving students globally. Aiming to empower children through foundational literacy and numeracy.
Software Architect developing tailored software architectures for diverse clients in hybrid mode. Leading project teams and ensuring technical implementation with a focus on client requirements.
Senior Software Engineer developing fullstack software solutions from frontend to database. Collaborating on client needs, mentoring juniors, and ensuring code quality in Munich office.
Senior Software Engineer developing fullstack software applications for clients in Stuttgart. Analyzing client needs and providing high - quality code while mentoring junior developers.
Senior Software Engineer developing tailored software solutions from frontend to database. Collaborating with clients and mentoring junior team members in a team - oriented culture.
Senior Fullstack Engineer enhancing diverse engineering squad with expertise for a company focused on energy transition. Driving product scaling and impacting users, organization, and engineering practices.
Software Engineer creating and delivering technology for digital manufacturing at Protolabs. Collaborating on scalable solutions that impact customers and business growth.
AI Software Developer creating AI systems for business processes with a focus on robust LLM solutions. Engaging in end - to - end development of production - ready AI features and API integrations.
Working Student in Software Engineering at dotbase, building software that impacts patient care and healthcare innovation. Collaborate on product features using Vue3, TypeScript, and Node.js.