Description review

Senior Backend Engineer (Python) - Remote

Breathment · Munich · back to the listing

HR standards

60/100

needs work

Title ↔ description

85/100

strong

Reads as

Backend Engineer

95% confident

What this role officially is

software developer — ESCO, the EU occupation classification

Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.

Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer

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What the listing never says

  • 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Breathment is a Munich-based digital health startup. We digitize pulmonary rehabilitation for people living with chronic respiratory diseases such as COPD: our app guides patients through therapy exercises at home, watches their movement through the phone camera and gives feedback in real time, while physiotherapists and physicians follow their progress remotely through our telemonitoring platform. We work with German clinics, physiotherapists and health insurers, and every release reaches real patients.

We are looking for a senior engineer who is at home in both worlds: computer vision and production backend. You will own the path from neural-network output to what the patient sees on screen and what the therapist reads in the report.

Tasks

• Own the computer-vision pipeline that turns pose-estimation output from our neural networks into repetition counts, posture feedback and set-by-set exercise analysis.

• Design the reporting layer that converts raw movement data into clinical reports physiotherapists act on.

• Build and extend our Python backend (FastAPI, MongoDB, Redis): the API behind the patient app and the clinician platform.

• Ship to production on Kubernetes with GPU inference services, and stand behind what you ship: tests, monitoring and clean handovers.

• Analyse requirements together with product, physiotherapists and the mobile team, and propose solutions instead of waiting for tickets.

Requirements

• 5+ years of professional software development in Python, including production REST APIs (FastAPI or comparable).

• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow). You have built real product features on top of model output, not only trained models in notebooks.

• Solid experience with NoSQL databases, ideally MongoDB, and with data models that survive growth.

• A fluent Git and GitHub workflow: branches, reviews, CI.

• Strong analytical thinking and an independent, structured way of working. You can take an ambiguous problem and drive it to a shipped result in a remote team.

• Professional working proficiency in English. German is a plus, not a requirement.

• Genuine interest in startups: you want responsibility, and you want to see the effect of your work on patients.

Nice to have

• Pose estimation, human motion analysis or video processing (OpenCV, MediaPipe or similar).

• Docker, Kubernetes and cloud deployments; workflow engines such as Temporal.

• Software in a regulated environment: medical devices, health data, GDPR.

Benefits

• Impact you can see: your code helps patients rehabilitate at home instead of waiting months for a clinic place.

• Remote-first: work from anywhere.

• A small senior team with short decision paths and direct access to founders, physiotherapists and users.

• A modern stack: Python 3, FastAPI, MongoDB, Redis, PyTorch, Kubernetes, GPU inference.

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How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 68 before penalties). Reviewed 21 Sep 2026.