13 annunci per il ruolo di python developer - switzerland (recruiting in corso)

Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Basilea, BS
- 100%
- Remoto
- Master
- Bachelor
- JavaScript
Candidatura rapida
Ingénieur/e en systèmes informatiques (1305 & 1306)
Administration fédérale - Département fédéral des finances DFF —Zollikofen, BE
- Inglese
- Python
3 giorni
Senior Data Platform Engineer
Proton AG —Ginevra, GE
- CHF 50’000 - CHF 78’000 all'anno
- Capacità di scrittura
- Java
- Master
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Basilea, BS
- C++
- Bachelor
- Sviluppo software
- Congedo parentale
ICT-System-Ingenieur/-in (1305 & 1306)
Bundesverwaltung - Eidgenössisches Finanzdepartement EFD —Zollikofen, BE
- Inglese
- Python
3 giorni
AI Workflows Engineer
Neural Concept —Losanna, VD
- 100%
- Parzialmente remoto
- CAD
- Python
Cloud-Hybrid Database and Application Administrator
Vitol —Ginevra, GE
- 100%
- Oracle
- Gestionale
- Inglese
Candidatura rapida
Head of Protocol - Arkiv
Golem Network —Home Office
- 100%
- Remoto
- Database
- SQL
- Python
Pre-Sales Engineer
Develocity —Home Office
- Remoto
- Bachelor
- Capacità di comunicazione
- Python
Candidatura rapida
Senior DevOps Engineer
Proton —Ginevra, GE
- CHF 51’000 - CHF 76’000 all'anno
- Sviluppo software
- IT
- Linux
Candidatura rapida
Senior Compiler Engineer
Synthara AG —Zurigo, ZH
- C++
- Python
Senior Customer Solution Architect – AI & Automation (m/f/d)
CDQ AG —Svizzera
- 100%
- Remoto
- Inglese
- Master
- Competenze analitiche
- Lavoro da casa
9 giorni
Customer Success Engineer - German Speaker (Switzerland)
Deepgram —Svizzera
- CHF 140’000 - CHF 175’000 all'anno
- Straordinari
- Remoto
- Python

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Senior / Staff Documentation Engineer (AI & Docs Tooling)

TetraScience -
Basilea, BS

Candidatura rapida

Dettagli della posizione

100% | Orario di lavoro: 90-100%

Qualifiche

MCP
Git
Master
Bachelor
JavaScript
Python
Negoziazione

Descrizione completa della posizione

About TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

The Role

TetraScience is the scientific data and AI company. Our documentation is how customers, from bench scientists to platform engineers, learn to build on the platform, and increasingly it is how AI agents consume the platform too. We are looking for a Documentation Engineer to own documentation as a system: the pipelines that build and publish it, the AI-augmented workflows that generate drafts for human review and refinement, the review and publish process, and the infrastructure that makes it reliably consumable by AI agents.

This is primarily a documentation systems role, not only a writer who uses tools. The differentiator is building and owning the systems that produce, validate, publish, and AI-enable our documentation. Strong writing and editorial judgment are still required, but the center of gravity is tooling and systems, and a large portion of the day to day is building.

You will lead, not just maintain. You will take our existing docs-as-code foundation and AI-assisted documentation workflows and grow them into a docs-as-AI-agents capability that is differentiated for a life-sciences AI platform. You will still own editorial quality and the release-notes cadence, but you will spend most of your time building leverage rather than absorbing work.

Own the documentation site and its publishing as software: the docs-as-code repo, the CI/CD publishing pipelines, build performance, and automated link, structure, and quality checks.

Build and grow AI-augmented documentation workflows: AI-assisted drafting, summarization, classification, consistency and staleness checks, and a feedback loop that improves generation quality over time, all with human oversight.

Build our docs-as-AI-agents position: structure and transform content so AI systems can reliably chunk, index, and reason over it, and stand up and maintain MCP-style interfaces so agents and assistants consume our docs accurately.

Generate reference documentation from source (OpenAPI and related specs) and keep docs in lockstep with the platform as code changes.

Lower the barrier for internal contributors (PMs, squad leads, engineers) to ship their own docs through the docs-as-code workflow, and reduce repetitive work through automation.

Own the release-notes and customer-communications cadence that goes out with every platform release, and run the SME review that keeps it accurate and on time.

Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current so the function is not dependent on any one person.

Requirements

Basics Requirements

5+ years owning documentation tooling, content engineering, or developer documentation for a developer-platform or enterprise B2B product.
Engineering ability in a scripting or web stack (for example Python, TypeScript, or JavaScript) and real fluency with docs-as-code: Git, pull-request review, CI/CD, and a static-site or CMS publishing pipeline.
Hands-on experience building AI-augmented or LLM-backed workflows: integrating LLM APIs, AI-assisted authoring, and structuring content for AI consumption.
Ability to read and reason about a real codebase and API surface well enough to document it accurately and to build tooling against it.
Strong editorial judgment: you can take a dense engineering change and make it clear, correct, and customer-safe.
Bachelors or Masters degree in a technical field, or equivalent practical experience.

Preferred Requirements

Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers)
Experience in BioPharma or scientific software, or in regulated and validated (GxP) environments.
Experience generating reference docs from OpenAPI or related specifications with two-way Git sync.
Developer-relations or developer-education exposure.

Benefits

Competitive Salary and equity in a fast-growing company.

Supportive, team-oriented culture of continuous improvement.
Generous paid time off (PTO).
Flexible working arrangements - Remote work.

We are not currently providing visa sponsorship for this position

Candidatura rapida

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python developer offerte - switzerland

Senior / Staff Documentation Engineer (AI & Docs Tooling)

Ingénieur/e en systèmes informatiques (1305 & 1306)

Senior Data Platform Engineer

Lead Kernel Engineer/Architect

ICT-System-Ingenieur/-in (1305 & 1306)

AI Workflows Engineer

Cloud-Hybrid Database and Application Administrator

Head of Protocol - Arkiv

Pre-Sales Engineer

Senior DevOps Engineer

Senior Compiler Engineer

Senior Customer Solution Architect – AI & Automation (m/f/d)

Customer Success Engineer - German Speaker (Switzerland)

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