Aistech Space is focused on generating affordable, recurrent, high resolution thermal imagery of the planet to provide a new perspective of Earth’s changing resources. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management.
What you will do:

You will play a critical role in designing, building, and scaling the microservices that connect our satellite constellation's data to our end users. Operating within a trunk-based development workflow, you will focus on writing robust, scalable code using modern software architecture patterns, while collaborating closely with our Platform/DevOps team to ensure seamless cloud-native deployments.
Key Responsibilities:

Microservices Architecture:

Design, build, and maintain high-performance, scalable microservices using Golang (implementing Hexagonal Architecture/Domain-Driven Design) and Python.
API Design & Communication:

Develop and maintain efficient inter-service communication using gRPC and Protocol Buffers (via Buf),



while providing HTTP access by translating gRPC to RESTful endpoints via API gateways.
Domain Integration & Business Logic:

Implement and integrate core geospatial business logic and Earth Observation standards such as STAC (SpatioTemporal Asset Catalog) and STAPI (Sensor Tasking API).
Data Management:

Design and optimize database schemas and queries to ensure high throughput and low-latency data access for our telemetry and image metadata.
DevOps Collaboration:

Write containerized applications and collaborate smoothly with Platform/DevOps engineers to ensure your services run reliably on Kubernetes in GCP. You will build with observability, security, and cloud-native principles in mind.
Who you are:

Must-Haves:

Proven professional experience in backend software engineering (we are hiring across multiple levels, and interview expectations will scale with your experience).
Proficiency in Golang and/or Python (with a willingness to

📌 Backend Engineer (Madrid)
🏢 Aistech Space
📍 Madrid