Senior Backend Engineer (m/f/d)

Reposted 17 Days Ago
Be an Early Applicant
Berlin, DEU
Hybrid
Mid level
Artificial Intelligence • Computer Vision • Productivity • Analytics
Unlocking a new level of productivity in manual assembly with the power of computer vision and AI-based analytics
The Role
The Backend Engineer will develop and maintain backend features and APIs, optimize database performance, and collaborate with teams to enhance the platform's capabilities.
Summary Generated by Built In

We’re looking for a backend engineer who thrives in fast-moving environments and enjoys building robust systems end-to-end. You’ll work across data pipelines, APIs and infrastructure, ensuring our platform runs efficiently and scales cleanly as we grow.

Your role

  • Develop and maintain backend features and APIs for our core platform

  • Improve database performance, reliability and real-time data processing

  • Debug, profile and optimise code to keep latency low and systems stable

  • Collaborate with AI, frontend and product teams to integrate new capabilities

  • Contribute to architectural decisions and shape the evolution of our backend stack

You are

  • 3–5 years’ experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)

  • Solid in SQL and data modelling (PostgreSQL or similar)

  • Experienced with REST APIs and cloud environments (AWS preferred)

  • Comfortable working independently and taking ownership of a problem

  • Startup mindset — quick to ship, focused on quality, allergic to bureaucracy

Nice to have

  • Linux debugging and performance tuning

  • Familiarity with orchestration (Kubernetes, Terraform, Ansible)

  • Experience with data pipelines or analytical databases

  • Interest in edge/cloud hybrid architectures

Why this role matters
You’ll help shape how data moves through our system — building fast, reliable infrastructure that powers every customer interaction.

What we offer

A competitive salary & stock options*

Be on the forefront in defining what artificial intelligence means in manufacturing

Gain hands-on experience in working in an AI-first software company

Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company

Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact

Network with professionals and leaders in the field, opening doors to potential future career opportunities

We have a very flat hierarchy, open 360° feedback, and flexible working hours

Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?

Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.

*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.

Top Skills

Ansible
AWS
C++
Go
Java
Kubernetes
Postgres
Python
SQL
Terraform
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The Company
HQ: Berlin
39 Employees
Year Founded: 2022

What We Do

AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential. 1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks. 2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing. 3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis. 4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.

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