App developer Jobs in Bonn
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App developer • bonn
Backend Developer - Full-Time (all genders)
kiresultBonn, North Rhine-Westphalia, GermanyLead Developer C# (m / w / d) Bonn
GEUTEBRÜCKBonn, Nordrhein-Westfalen, DeutschlandiOS Developer (all gender)
DeepUp GmbHBonn, Nordrhein-Westfalen, DESenior Appian Developer (all genders)
AccentureAllee ,Adenauer,Konrad,Siegburg- Gesponsert
Senior Fullstack Developer (all genders)
denkwerk GmbHTroisdorf, GermanyApplication Developer
CompuSafe Data Systems AGBonn, de- Gesponsert
Senior Golang Developer - Kubernetes / Helm (m / w / d)
BWI GmbHBonn, Köln, Meckenheim, DEGerman Business Developer Representative – Google Products
KAMBonn, North Rhine-WestphaliaFrontend UX Developer (m-f-d)
FSC InternationalBonn, North Rhine-Westphalia, GermanyInhouse Fullstack Developer SAP CAP BTP (mwd)
faktor sRhein-Sieg-Kreis, North Rhine-Westphalia, GermanyPromoter : in (m / w / d) für Kaufland Card Promotion 2026
Blank&Biehl GmbHTroisdorf, DeutschlandSAP Developer TM (Transportation Management)
GambitTroisdorf, DESenior Developer (fmd) SAP LeanIX
SAPBonn, North Rhine-Westphalia, GermanyBusiness Developer Salesforce (all genders)
adesso SEJoseph-Schumpeter-Allee 1, Bonn, GermanyRemote German Conversation Study – Mobile App Based
Your Personal AIBonn, NW, DESenior PHP Developer, Schwerpunkt Symfony
Constructiva Solutions GmbHBonn, North Rhine-Westphalia, GermanyWeb Developer (m / w / d) - Webentwicklung, Ingenieur
DedalusBonn, DEQuereinstieg Mobile App Entwickler (m / w / d) - Fokus auf iOS & Android, ohne Vorkenntnisse
Syntex GmbHSankt Augustin, Nordrhein-Westfalen, DE(Senior) App Developer im Segment Supply Chain (w|m|d)
Primazon GmbHBonn, Nordrhein-Westfalen, DEÄhnliche Suchanfragen
Backend Developer - Full-Time (all genders)
kiresultBonn, North Rhine-Westphalia, Germany- Homeoffice
- Quick Apply
About us
At kiresult, we’re reshaping the procurement analytics landscape with our advanced SaaS solution, helping companies to unlock the power of data for smarter decision-making. Our platform transforms procurement data into valuable insights, providing companies with strategic advantages and cost-saving opportunities.
Who We're Looking For
You're a backend engineer passionate about building robust, scalable systems that power data-driven applications. Python micro-services, Docker containers, MongoDB, and CI / CD pipelines are your daily toolkit. Here, your contributions matter and can influence enterprise customers directly —and if you want to grow into a full-stack role, you’ll have the chance to do so.
Tasks
Role Overview
As a Backend Developer at kiresult, you'll be central to our development team—building and maintaining the services that power our procurement analytics platform. You'll own backend feature delivery end-to-end, from database schema design to REST API endpoints and background job orchestration.
Key Responsibilities
1. Feature Development
- Build new API endpoints and background jobs using Python and FastAPI
- Design and implement scalable data processing jobs (Celery, asyncio)
- Develop features that power decisions on billions in procurement spend
2. Code Quality & Testing
3. Performance & Reliability
4. DevOps & Containerization
5. Collaboration & Leadership
Requirements
Must-Haves
Strong proficiency in Python 3.x with production experience in at least three of :
1. FastAPI / Flask
2. Pydantic
3. Celery or other async task queue
4. asyncio
5. pytest
Nice-to-Haves
Benefits
Why Join Us?
Ready to push the boundaries of procurement analytics?
Apply with your CV , GitHub / portfolio links , and a short note on a project you’re proud of. We review every application personally and aim to reply within a week.
Join kiresult and build the technology that redefines how enterprises see their data!
kiresult reichert Spend-Daten automatisch an und macht sie analysierbar. Vorgefertigte Analysen und Kennzahlen stellen alle Information in Echtzeit zur Verfügung. Das schafft volle Kostenkontrolle und bringt Insights für den strategischen Einkauf.
Unser Ziel ist es, jedem Unternehmen die Möglichkeit zu geben, strategisch zu handeln und das Beste aus den eigenen Daten herauszuholen. Und das alles passiert auf intuitive Weise ohne Implementierungsaufwand.