Senior Backend Engineer

LiveEO

. Build applications using deep learning, satellite data and other data sources to help fight deforestation, monitor critical infrastructure and respond to natural disasters .

Posted 10/22/2026full-timeBerlin • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production backend services and data pipelines, with a strong focus on Python, API design, and performance optimization. Capable of mentoring engineers and improving system observability and stability through effective monitoring and testing practices.

Highest-signal resume keywords

Python Backend DevelopmentKubernetes DeploymentRelational Database ManagementAPI DesignData Pipeline Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningData Product DevelopmentPerformance OptimizationSchema Drift DetectionAutomated Quality ChecksIncident HandlingTestingWorkflow OrchestrationGeospatial Data ProcessingRaster Processing

Soft Skills

MentoringCollaboration

Tools & Technologies

KubernetesPostGISAWSPrefectAirflow

Industry Keywords

Deforestation MonitoringNatural Disaster ResponseInfrastructure MonitoringService ScalabilityObservability

Tech Stack

Tools & technologies

AirflowAWSKubernetesPostGISPython

About the role

Key responsibilities & impact

Build applications using deep learning, satellite data and other data sources to help fight deforestation, monitor critical infrastructure and respond to natural disasters
Turn analytics outputs into data products and make them available across the platform and to customers
Own maintenance, performance and scalability of core backend services
Evolve data models, APIs and storage as data volumes and consumers grow
Maintain visibility into the health of the end-to-end product pipeline
Build and maintain monitoring, alerting, automated quality checks and testing across services
Detect schema drift, contract failures and version incompatibilities between services
Contribute to backwards compatibility, feature flags and staged rollouts
Maintain and improve workflow orchestration and related automation
Reduce manual operational work and toil
Turn observed system behaviour into improvement work and team planning
Mentor engineers through code review and pairing
Improve scoping, testing and release stability

Requirements

What you’ll need

At least 5 years of experience building and operating production backend services or data pipelines in Python
Solid track record maintaining and scaling services already in production, including performance work, observability, testing and 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
Experience using AI-assisted coding in day-to-day work
Nice to have: Geospatial data experience, including PostGIS or similar
Nice to have: Raster processing or satellite imagery background
Nice to have: Spec-driven or test-driven development
Nice to have: Experience with a workflow orchestrator such as Prefect or Airflow
Nice to have: Experience running workloads on AWS
Nice to have: Experience working across multiple teams on shared interfaces or contracts

Benefits

Comp & perks

Flexible working hours and hybrid work model
Healthy work-life balance
Career development opportunities
Freedom to be creative and bold
Overtime offset with time off and rest
Internal workshops, knowledge sharing sessions, journal clubs and hackathons
Free fruit, nuts and drinks at the Berlin Kreuzberg office
Potential participation in the employee stock option program
Urban Sports membership
BVG subsidy
Corporate pension program
International environment with 30+ nationalities