Senior Backend Engineer
What is Taster?
Our vision is to revolutionise quick-service restaurants worldwide by crafting mouthwatering, iconic brands with top creators and then distributing them through next-generation franchise networks supercharged by Technology and innovation.
Taster is at the forefront of the food delivery revolution in Europe, bringing the franchise model to the digital age with leading delivery-first brands, best-in-class technology, and an asset-light business model leveraging established delivery platforms and supply partners.
This approach ensures we deliver high-quality food experiences designed specifically for delivery — without compromise.
With a highly scalable model and strong unit economics, Taster is profitable. Backed by Tier-1 investors (Octopus Ventures, Local Globe, Heartcore Capital, Rakuten, Battery Ventures), we operate in a market expected to reach $365bn by 2030.
Why are we hiring?
At Taster, we’re building the quick service dining industry of tomorrow. Our tech allows our kitchens to efficiently operate their business : manage out-of-stocks products, opening hours, holiday schedules, opening and closings of multiple digital brands, across multiple platforms (Uber, Deliveroo, etc.) from a single software interface.
From the HQ side, the management of menus, kitchen lifecycle, operational data, supply catalogs and integration to logistics platforms… And also, proprietary sale funnels : a custom Click & Collect, a Kiosk, and a Point of Sale app, all developed in-house and NF525 certified.
Our backend allows us to power all of this, on the Cloud using a mix of serverless and event-driven. We’re looking for a Senior Backend Engineer to join our backend team and help us build robust, scalable, and performant systems. You’ll design architectures, implement various features in collaboration with the product team, and participate in ongoing tech-intelligence to help keep the stack up to date.
What will you do?
As a Senior Backend Engineer, your responsibilities will be:
System Design & Engineering
Design architectures, from the Software side (python) to the infrastructure side (GCP)
Write clean, maintainable, and well-tested code
Participate in technical discussions around tech intelligence, coding best practices
Product & Delivery
Own complex features end-to-end, working closely with the Frontend and Product teams
Collaborate with the HQ teams, that are your clients : Marketing, Operations, Sales, Supply...
Ensure reliability and performance of our systems
AI & Innovation
Integrate GenAI into your day-to-day work
Keep a strong hands-on coding approach, and know when to challenge LLM-produced code
Mentor the more junior members of team, and get to know our entire code base and features
️ Our stack
Python 3, FastAPI, Gunicorn/Uvicorn using aSGI
SQL (SQLAlchemy), Firestore (GCP clients), a duckDB POC
Google Cloud Platform, mostly on serverless services (Cloud Run), along with Grafana, Sentry, Github
Custom CICD and monitoring, Keycloak, Dependency Track, Sonarqube
Why us?
Join a profitable, fast-growing foodtech startup with real scale challenges
Work within a lean, high-impact tech team where your work directly shapes the product
Be part of an international team across Paris & London
⭐ Our office is in the heart of Paris, surrounded by great food (of course)
A humble, supportive team that genuinely enjoys working together
A culture built around Quality, Innovation & Community
✅ What are we looking for?
Experience
6+ years of experience in backend development, in Python
Experience with a public Cloud Provider
Knowledge of asynchronous design, SQL, NoSQL systems
Familiarity with at least one monitoring and observability platform
Comfortable in coding with LLM-assisted tools (e.g. Claude Code, Cursor, Copilot)
If you do not meet all of this but you recognise some of your skills in this list and believe you might be a good fit, we encourage you to apply
Technical Skills
Solid experience with GCP (or similar cloud platforms)
Strong understanding of APIs, databases, and asynchronous systems
Experience with monitoring, performance optimization, and system reliability
Familiarity with event-driven architectures is a plus
AI & Modern Tooling
Experience coding with LLM-assisted tools (e.g. Claude Code, Cursor, Copilot)
Interest in integrating AI into backend systems and workflows
Ability to leverage AI tools to improve productivity and system capabilities
Mindset
Autonomy & Ownership: Able to drive projects independently end-to-end
Collaboration: Comfortable working cross-functionally
Product ownership mindset: Acts as a product builder, not just an implementer, challenges requirements, understands user and business impact, and takes responsibility for delivering the right solution
Language requirements
Fluent in English
Fluent in French
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