Backend & Cloud Platform Engineer

Newtwen · Technology

unknown

Salary Range (USD)

$70k - $90k

Location

Italy

Visa Support

Not mentioned

Funding Stage

Unknown

Job Responsibilities

  • Architect and build the first production-grade cloud backend from the ground up
  • Own backend services and computational pipelines spanning 3D geometry processing, mesh generation, model order reduction, calibration and neural network training
  • Make architecture decisions rather than just implementing tickets

Required Skills

Strong production backend/cloud experiencePython (FastAPI or similar)Relational databasesDockerCloud infrastructure (GCP preferred)CI/CDIaC

Engineering Culture & Tech Stack

PythonFastAPIDockerGCPCI/CDIaCSQL
ownership

Raw Post

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Newtwen | Backend & Cloud Platform Engineer | REMOTE (EU) | Full-time | €70k–€90k+ Newtwen is building a cloud platform that brings complex physics and data-driven intelligence directly onto microcontrollers, generating ultra-fast runtime firmware that executes in just a few microseconds. We're looking for a Senior Backend & Cloud Platform Engineer to help architect and build our first production-grade cloud backend from the ground up. You'll own backend services and computational pipelines spanning 3D geometry processing, mesh generation, model order reduction, calibration and neural network training. A core part of the platform is dedicated to data-driven modeling, with a specialized neural-model library designed to make physical models adaptive in real time. You might be a good fit if you have: strong production backend/cloud experience, Python (FastAPI or similar), relational databases, Docker, cloud infrastructure (GCP preferred), CI/CD and IaC — and enjoy making architecture decisions rather than just implementing tickets. Location: REMOTE (EU), with the option to work hybrid in Italy Compensation: €70k–€90k+, depending on experience Apply: career@newtwen.com — mention Hacker News and include your LinkedIn/CV and, if available, GitHub or project links.

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Data Source

Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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