Backend engineer for satellite analytics

Build the Market Leader in Satellite Analytics with us at LiveEO You will work on applications that use deep learning and satellite data and other data sources to help companies and governments fight deforestation, monitor critical infrastructure, and respond faster and more precisely to natural disasters. Our aim is to empower any user in the world to harness the power of earth observation satellites to simplify and improve their daily work.

• Own the maintenance, performance and scalability of core backend services, evolving their data models, APIs and storage as data volumes and consumers grow.
• Maintain a clear, shared view of the health of the end-to-end product pipeline so that regressions and failures are detected early rather than discovered late or through manual coordination.
• Build and uphold the practices that make this possible: monitoring, alerting, automated quality checks and testing across services.
• Help keep the interfaces between services stable: spot schema drift, contract failures and version incompatibilities early, feed concrete failure cases back to the owning engineers and help establish durable contracts.
• Contribute to safer release practices such as backwards compatibility, feature flags and staged rollouts.
• Maintain and improve our workflow orchestration and the automation around it, reducing manual steps and operational toil.
• Turn observed system behaviour into concrete improvement work and bring it into team planning.
• Mentor engineers through code review and pairing; raise the bar on scoping, testing and release stability.

• At least 5 of experience building and operating production backend services or data pipelines in Python
• Solid track record maintaining and scaling services already in production: performance work, observability, testing, incident handling
• Strong relational database skills; comfortable with API design and service-to-service contracts
• Hands-on experience deploying and operating services on Kubernetes, including troubleshooting and incident response
• You've used AI-assisted coding in your actual day-to-day, not just tried it once
• Будет плюсом: Geospatial data experience (PostGIS or similar); Raster processing or satellite imagery background; Spec-driven or test-driven development, agentic or otherwise; Experience with a workflow orchestrator (Prefect, Airflow or similar); Experience running workloads on AWS; Experience working across multiple teams on shared interfaces or contracts

• The opportunity to create a product that can improve business processes and lives across the globe.
• Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
• We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
• Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.
• A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
• Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks.
• Potential to participate in the employee stock option program.
• Urban Sports membership and BVG subsidy, corporate pension program.
• A diverse and vibrant international environment of 30+ different nationalities.