(Senior) Software Engineer (d/f/m)

Festanstellung, Vollzeit · Berlin

Your mission
We’re scaling our retail AI solutions after successful deployments across Germany, Europe, and the US. We’re looking for a *Full-Stack Engineer* to build the web applications and data infrastructure that power our computer vision solutions for retail environments.

You’ll work closely with our ML team (who handle the AI) and deployment team (who manage hardware), focusing on scalable web platforms and data pipelines that connect everything together.


Your tasks

          Full-Stack Development & Data Pipelines: 
  • Build Flask-based web applications and RESTful APIs
  • Create responsive front-end interfaces for B2B customers and internal teams
  • Design data pipelines for processing computer vision outputs and customer analytics
  • Develop customer-facing dashboards and reporting features

    Enterprise Integrations:

  • Implement enterprise IAM integrations (SAML/OIDC, Active Directory) for large corporate clients
  • Build scalable backend services connecting edge devices to cloud infrastructure
  • Collaborate with ML engineers to integrate and serve models effectively
Your profile
Core Requirements

1. Strong Python skills - our primary backend language
2. Web development experience - APIs, web apps, databases (SQL/NoSQL)
3. Data engineering mindset - experience with data pipelines or analytics
4. B.Sc./M.Sc. in Computer Science or 2+ years equivalent experience
5. Frontend & Full-Stack:
- React, Node.js, TypeScript
- Data visualization and dashboard development

Work Authorization:
- Valid work authorization for Germany required (German work permit)

Bonus Points
Pick your strengths - we don’t expect anyone to have all of these:

Data Engineering:
- Data pipelines, ETL processes, analytics platforms
- Stream/batch processing, pandas, data modeling

Enterprise & Platform:
- Enterprise IAM and authentication systems
- Docker, Kubernetes, cloud platforms (GCP, AWS, Azure)
- Infrastructure as code and DevOps practices

AI/Edge Integration:
- ONNX Runtime, NVIDIA DeepStream
- Video processing (GStreamer, FFmpeg)
- C++, CUDA programming
- Edge computing and embedded systems


Our Tech Stack

Languages: Python, C++, TypeScript, JavaScript
Backend: Flask, RESTful APIs, PostgreSQL, MongoDB
Frontend: React, Node.js
Infrastructure: Docker, Kubernetes, Linux, GCP
AI/Edge: ONNX Runtime, NVIDIA DeepStream, CUDA
Video: GStreamer, FFmpeg


What Makes You Stand Out

Full-stack mindset: You enjoy building end-to-end solutions from data pipelines to user interfaces.
Pragmatic approach: You balance technical excellence with shipping working solutions.
Collaborative spirit: You work well with ML engineers, product teams, and enjoy mentoring others.
Growth mindset: Interest in retail technology and AI applications, comfort in a fast-paced startup environment.
Problem-solving: Strong analytical skills and ability to work independently on complex technical challenges.

Language Skills
Basic German language skills are preferred (A2 Level or higher)

What We’re NOT Looking For
- Someone who needs to be an expert in every technology listed
- Pure ML/AI researchers (we have that covered!)
- Backend-only specialists (we need full-stack capabilities)
- Someone who only wants to work on greenfield projects (we have real customers and real constraints)
Why us?
What we offer you:
  • Competitive salary (based on experience and skills)
  • Company shares - participate in our growth
  • Transport subsidies - we cover your commute
  • Lunch at company expense - fuel up on us
  • Flexible working hours and hybrid work - plenty of home office days
  • Diverse development opportunities - grow your skills with us
  • Modern equipment - office computers/laptops provided

    Join us in building the infrastructure that powers the future of retail AI! 
About us
We are Signatrix, and together we are Remaking Retail. Our goal is to improve existing infrastructures and make them "smart" in a matter of weeks. Connecting with store security cameras, we use Artificial Intelligence to analyse whatever is happening in a store — automatically and in real-time.
Wir freuen uns auf dich!
Wir freuen uns über dein Interesse an der Signatrix GmbH. Bitte fülle das folgende kurze Formular aus. Solltest du Schwierigkeiten mit dem Upload deiner Daten haben, wende dich gerne per Email an info@signatrix.com.
Dokument wird hochgeladen. Bitte warten Sie.
Fügen Sie alle erforderlichen (mit einem * gekennzeichneten) Angaben hinzu, um Ihre Bewerbung abzusenden.