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

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

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1 Vacancy
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Job Location drjobs

Berlin - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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

Youll 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. ./. in Computer Science or 2 years equivalent experience
5. Frontend & Full-Stack:
- React TypeScript
- Data visualization and dashboard development

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

Bonus Points
Pick your strengths - we dont 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
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 Were 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 inbuilding 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.

Employment Type

Full-Time

Company Industry

About Company

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