软件工程师

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.

At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do. We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work. This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. What you’ll be doing

• Design, build, and operate scalable backend services powering real-time, customer-facing systems

• Develop and evolve AI-powered translation capabilities using LLMs in production

• Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost

• Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems

• Take ownership of technical decisions and help shape the architecture and future direction of the system

• Improve the performance, reliability, and operational readiness of services handling real production traffic

• Continuously explore better ways of working, including leveraging AI tools to improve development workflows

Our humble expectations

• You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)

• You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.

• You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).

• You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.

• You're comfortable working with real-world data and its nuances.

• You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.

• A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders

• The opportunity to work with AI and LLMs in real, high-impact production use cases

• Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.

• You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.

Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world!

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on factors such as the candidate’s skills, experience and qualifications. Please note, that the starting pay may vary if the candidate does not fully meet the expectations as outlined in this job posting.

The salary below is the monthly salary range for this position. €5,400 - €8,000 Per month

To learn more about our benefits, please do not hesitate to bring this up with our Talent Acquisition Partner! Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .