Requirements

Solid engineering fundamentals: At least 1-2 years of experience building production backend services
Genuine enthusiasm for AI-first development: You use AI tools daily and have formed real opinions about how to get the most out of them
End-to-end ownership mindset: You take responsibility beyond implementation, from breaking down problems into technical tasks to ensuring features are tested, stable, and successfully shipped
Ability to work independently and drive projects: You’re comfortable owning work end-to-end with minimal guidance, collaborating with designers to clarify requirements, creating tasks, and moving initiatives forward
Product and execution thinking: You operate well in ambiguous environments and contribute not just to implementation, but to shaping what gets built and how
Experience operating in production environments: You’ve debugged real issues in live backend services and understand what it takes to maintain reliability at scale
Collaboration and communication: You communicate clearly and work effectively across teams, including in multi-team development environments

What you'll be doing

Design, build, and operate high-performance backend services - primarily in Kotlin and Go (experience with Python is a plus) - powering discovery surfaces, front pages, and category experiences across Wolt’s new and existing verticals
Own your services end-to-end: from requirements, design, and delivery to testing, CI/CD, deployment, monitoring, and on-call
Translate product and user needs into scalable, low-latency solutions and run experiments (A/B tests, feature flags) to continuously improve performance and impact
Collaborate closely with Product Leads, Frontend, Data, and Machine Learning teams to build features like search, ranking, personalization, and data-pipeline integrations
Drive reliability, observability, and efficiency - through automated testing, logging, tracing, alerting, incident response, and post-mortems
Continuously improve technical quality by reducing tech debt, proposing architectural improvements, and measuring their outcomes

An AI-first team by design: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline
Real ownership, real impact: Discovery is one of the most critical parts of the product. You’ll own features end-to-end and see your work directly influence user behavior at scale
Cross-functional collaboration: You’ll work closely with product managers, designers (including motion), backend engineers, and data teams to build seamless user experiences
A small team with high leverage: We operate as a tight, cross-functional team where engineers have a strong voice, move fast, and take responsibility for what they ship