Full Stack Engineer

LiveEO; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

LiveEO in Berlin is looking for a full-stack engineer to develop applications that utilize deep learning and satellite data to combat deforestation and manage critical infrastructure.

Your role will involve end-to-end ownership of projects, optimizing systems, and effectively handling large data volumes while promoting a collaborative environment. Experience in TypeScript, React, and backend frameworks is essential, with opportunities for autonomy in decision-making and development.

Qualifikationen

• Strong knowledge of TypeScript and React (VueJS or Preact acceptable).
• Experience in backend technologies such as NestJS, Express, or Node.js.
• Familiarity with CI/CD and modern architecture practices.
• Hands-on experience with AI-assisted workflows.
• Desirable: experience in web-based geospatial or GIS development.

Aufgaben

• Work on applications using deep learning and satellite data.
• Empower users to utilize earth observation satellites.
• Own end-to-end project topics from design to production.
• Handle large geospatial data volumes efficiently.
• Build robust integrations for third-party service consumers.

Kenntnisse

Strong TypeScript

React

Backend experience with NestJS/Express/Node.js

CI/CD experience

AI-assisted workflows

Spec-driven or test-driven development

Web-based geospatial/GIS development

Design and UX skills

Jobbeschreibung

Requirements

• Strong TypeScript and React (VueJS or Preact also fine)
• Backend experience with NestJS, Express, or Node.js
• Experience with CI/CD and modern software architecture practices
• Hands‑on familiarity with agentic coding setups - you've used AI‑assisted workflows in your actual day‑to‑day, not just experimented
• (Desirable) Experience with spec‑driven or test‑driven agentic development
• (Desirable) Web‑based geospatial / GIS development
• (Desirable) A sense for design and UX – enough to handle smaller design decisions autonomously

What the job involves

• You will work on applications that use deep learning and satellite data 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
• As a full‑stack engineer on our product team you will own large topics end‑to‑end – from early design through production
• Concretely, that means handling large volumes of geospatial information efficiently in both browser and backend, solving graph problems in the database with carefully crafted queries, and building robust integrations with the growing number of third‑party consumers of our services
• You will refactor existing systems where needed and build greenfield applications where the problem demands it
• Our development lifecycle is a pragmatic scrumban: structured enough to coordinate, loose enough to move fast. Engineers here are highly autonomous. You will own topics from early exploration through delivery, act like a product engineer with deep domain knowledge, and make decisions yourself or in small circles without needing sign‑off chains
• We take agentic development seriously, but are aware of its limits. Tickets with solid acceptance criteria become agentic specs that agents implement in test‑driven setups. Code review is a mix of agent and human – whichever is most effective for the change at hand. We ship to production at least weekly
• And yes, we actively encourage engineers to keep coding and debugging manually to stay sharp; the goal is augmented engineers, not engineers who've forgotten how to program
• Build and extend features end‑to‑end handling large volumes of geospatial data with great UX and design
• Construct well‑designed and performant APIs and backend services for 3rd‑party partners and customers
• Work in cross‑functional teams on large topics from very early on. Understand the domain and own features from initial idea to continuous monitoring and incident response