Staff Backend Engineer, Customer Value Optimisation

The Role

We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection of Data Science and Backend Engineering — you'll be the technical bridge that turns ML models into reliable, scalable production systems.

You'll work across squads within the CVO tribe, partnering closely with Data Scientists and Backend Engineers to define how we serve ML models at scale, raise the technical bar, and accelerate the tribe's ability to deliver value to our customers.

What you'll do
Design, build, and own robust, scalable infrastructure for live serving of ML models in production
Act as the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating DS needs into scalable engineering solutions
Define and drive best practices for model serving, APIs, and system design across squads
Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation
Partner with Data Scientists to ensure models are production-ready — performant, observable, and maintainable
Contribute to tribe-wide engineering standards and shape the technical roadmap
Mentor and support engineers across squads without direct line management responsibility
What you'll bring
7+ years of backend engineering experience, with a strong foundation in Python
Proven experience building and operating ML model serving systems or ML platforms in production
Deep understanding of distributed systems, APIs, and microservices architecture
Strong track record of working across team boundaries to deliver complex, cross-functional projects
Excellent communication skills — able to work fluently with Data Scientists, Machine Learning Engineers, and Data Engineers
A collaborative, low-ego approach with strong technical judgment
Nice to Have
Experience with ML frameworks and serving tools
Familiarity with feature stores, model registries, or MLOps tooling
Background in e-commerce, subscription, or personalization domains