Senior MTS Software Engineer — Research Tools (Zurich)

Clera

Zürich

Vor Ort

CHF 110.000 - 150.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Equity
Health/Dental/Vision coverage
Visa sponsorship
Relocation assistance

Zusammenfassung

Clera is hiring for an engineering role in Zürich to build and maintain researcher-facing applications and backend services. You will contribute across the stack, from UI to APIs and data models, ensuring scalable, robust workflows for large datasets.

You will collaborate with researchers to refine workflows, fix bugs, and optimize performance as data grows. The role emphasizes testing, code quality, and responsive interfaces with cloud-backed data storage.

Qualifikationen

  • 3+ years of experience building and maintaining applications used by others.
  • Strong skills in TypeScript and React, or Python with a backend framework such as FastAPI, and willingness to work across the stack.
  • Experience designing APIs and working with SQL and relational databases such as PostgreSQL.
  • A practical approach to testing, debugging, and incorporating user feedback.
  • Experience with annotation tools, research software, or large-dataset exploration is a plus.

Aufgaben

  • Build interfaces for writing tasks, reviewing files and video, inspecting agent actions, and comparing experimental results.
  • Develop APIs and PostgreSQL data models for tasks, reviews, files, and experiments.
  • Connect applications to data pipelines and file storage, with input validation, permission controls, and clear error handling.
  • Work with researchers to improve workflows, investigate bugs, and maintain performance as datasets grow.

Kenntnisse

TypeScript
React
Python
FastAPI

Tools

PostgreSQL
SQL
AWS
Playwright

Jobbeschreibung

Clera is hiring for an engineering role in Zürich to build and maintain researcher-facing applications and backend services. You will contribute across the stack, from UI to APIs and data models, ensuring scalable, robust workflows for large datasets.

You will collaborate with researchers to refine workflows, fix bugs, and optimize performance as data grows. The role emphasizes testing, code quality, and responsive interfaces with cloud-backed data storage.

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