About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Wolt’s Personalization team is responsible for creating a tailored experience for Wolt’s customers across their shopping journey, helping them to discover the best restaurants, dishes or items that match their culinary and shopping preferences across multiple premises such as Discovery, In Venue or Checkout.
We build and maintain the recommendation systems that power these experiences in real time for millions of users across more than 30 markets. For example, the team is responsible for the models that rank restaurants in Wolt’s Discovery page, venues in Wolt’s category pages or items in Wolt’s in-venue and cart premises. It also personalises other components in Wolt’s shopping experience such as brands, banners or food categories that are relevant entry points for our customers to explore Wolt’s assortment.
The team is multidisciplinary, including software engineers, applied scientists, ML Engineers. Together, we own the ML-powered personalisation stack, integrations across Wolt’s platform, and the systems that turn customer behavior and data into meaningful, dynamic and engaging experiences.
What you’ll be doing
As a Software Engineer in Wolt’s Personalisation team, you will:
- Design, build, and scale backend systems and APIs that deliver personalised experiences to millions of customers every day.
- Work closely with ML Engineers and Applied Scientists to integrate models into robust, high-performance services.
- Improve reliability and performance of the real-time recommendation stack, ensuring low-latency responses under high traffic.
- Contribute to the team’s technical architecture, driving improvements in scalability, observability, and developer experience.
- Champion code quality and engineering best practices and mentor junior team colleagues.
- Take ownership of the end-to-end software lifecycle — from design to deployment and monitoring — of the services you build.
What we offer
- The opportunity to shape Wolt’s personalisation systems, serving millions of customers daily.
- Be involved in rolling out new AI products for solving real customer problems with a measurable business impact.
- Work in a cross-disciplinary environment with ML Engineers, Applied Scientists, Data Scientists, Designers and Product Leads who share your passion for building great customer-facing products.
- A culture of ownership and excellence — you’ll take projects from conception to production and see the impact on users quickly at Woltwide.
- Have a tangible and measured impact on Wolt’s business KPIs and Wolt's customers’ experience.
Our humble expectations
- Solid experience in backend software development (the team uses Python & Go).
- A strong understanding of distributed systems, microservice architectures, and API design.
- Experience building high-performance services — ideally at scale, with thousands of RPS and strict latency budgets.
- Familiarity with containerisation and orchestration (Docker, Kubernetes) and cloud-native development (AWS, GCP, or similar).
- Experience integrating with or supporting ML or data-driven systems in production is a plus.
- Good understanding of observability, monitoring, and debugging distributed systems.
- Experience collaborating in cross-functional product teams, balancing technical quality with user impact.
- Strong communication and collaboration skills — you enjoy mentoring, pairing, and sharing knowledge.
