Backend Engineer
Software Engineer - Pirate & Architect
Zurich
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As a Pirate
We’re not looking for a software engineer who works through tickets. We’re looking for someone who can identify, board, and take over a merchant vessel in record time, and who leaves behind a ship where every knot is flawless. AI now handles much of the design, prototyping, and coding. What matters is building fast without leaving chaos behind. Concretely:
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Design thinking — you understand the actual problem before writing a single line of code
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Rapid prototyping with AI — you don’t treat modern AI tools as a novelty but as a core part of your workflow, going from idea to working prototype in hours instead of weeks
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Agentic coding with a firm hand — you let agents code for you, but you keep them on a short leash: strict architecture guidelines, clean design patterns, no sprawl
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Speed with foresight — you build fast, but you’re already thinking two releases ahead. Every important design decision is documented and traceable, even when you built at sprint speed
As an Architect
Once the vessel is taken, you take command. Now structure matters more than speed.
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Software & feature blueprinting — the plan exists before the building starts
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Systems engineering — you think in systems, not isolated components
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Software engineering design patterns — core toolkit, not bonus knowledge
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Architecture design — you make and own the big decisions, and you know when a microservice earns its keep and when it's just overhead
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Cloud-native product architecture — you design products for the cloud, not applications that happen to run there
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Code reviews — held to a high standard, but constructive
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Extreme attention to structure — loose ends are not a minor offense to you
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Broad foundation across databases, data structures, storage, cloud functions, and infrastructure as code — you choose deliberately, not out of habit
Tasks
The work itself, concretely:
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Building and maintaining AI agentic workflows — on industry-standard frameworks, with the same architectural discipline you would apply to any other production system
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Building and maintaining data processing pipelines — ingestion, transformation and enrichment of customer data: reliable, observable, and safe to reprocess
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Shipping features end to end — the
React
screen, the
Python
service behind it, and the
AWS
infrastructure it runs on -
Making quality measurable — evaluation sets, tracing, and budgets for latency and cost, so a regression is caught by us and not by a customer
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Integrating with our customers’ systems — real business data from real enterprise landscapes, rarely clean and never twice the same
Requirements
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Multiple years of experience as a software engineer, ideally with ownership of architecture decisions
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Practical, current experience with AI-assisted development (not just “tried it once”)
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Understanding of cloud native architecture, ideally on AWS
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End-to-end reach — ideally you are at home in the frontend, the backend and the infrastructure, and can take a feature all the way to production without handing it over at every boundary
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The rare combination: high speed AND high structural discipline
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Strong communication skills to explain and defend architecture decisions — including to agents that “wanted to solve it differently”
Benefits
✨ Shape and own the technical architecture as the company scales
✨ Work within a modern, AI-driven engineering setup
✨ High level of autonomy and real impact from day one
✨ Dynamic, entrepreneurial environment with room to grow
Send us resume / portfolio / GitHub / an example of a project you recently built using an AI-assisted workflow
No cover letter needed. Just show us you can board and clean up.
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