# Staff Engineer

**Company**: Wolt
**Location**: London
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/wolt/jobs/7745684?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9d23ae65-a15

## Description

## Job Overview

We're looking for a Staff Engineer to join the Wolt AdTech & Promotions organization, driving technical direction and building reliable, scalable systems that directly impact revenue and advertiser success.

## Responsibilities

- Drive the technical vision and architecture for Wolt's AdTech and Promotions platforms, ensuring they are scalable, reliable, and high-performing.

- Provide technical leadership across multiple teams and projects, bringing architectural consistency to complex, large-scale systems.

- Work across the end-to-end domain, contributing to backend services, data pipelines, and advertiser-facing tools.

- Design and evolve systems that support campaign execution, targeting, ranking, allocation, and reporting in real-time or near real-time environments.

- Partner with engineering, product, and data stakeholders to align priorities, improve campaign performance, and manage trade-offs in a revenue-driven environment.

- Lead large cross-team projects, guiding them from concept to rollout across multiple regions and time zones.

- Ensure strong operational excellence, including observability, reliability, and incident readiness for revenue-critical systems.

- Promote best engineering practices, mentor engineers across teams, and support their growth in scalability and system design.

- Act as a bridge between technical and non-technical colleagues, ensuring clarity and alignment across functions.

- Contribute to the technical roadmaps of AdTech and Promotions platforms by collaborating with other senior engineers.

## Requirements

### Technical Expertise

- Proven track record designing and scaling large distributed systems in production environments.

- Strong understanding of system architecture, scalability, reliability, and performance optimization.

- Experience working with data-intensive and real-time or near real-time systems.

- Familiarity with AdTech concepts such as targeting, ranking, attribution, or experimentation is a strong plus.

- Ability to adapt quickly to new technologies and languages; while many of our services are written in Kotlin and Go, we are looking for someone language-agnostic.

- Ability to dive quickly into new domains and navigate complex system interactions.

- Familiarity with modern cloud-native tools and data systems (e.g., Kubernetes, Kafka, MongoDB).

### Communication & Influence

- Strong communicator with the ability to influence, align, and build consensus across diverse teams and stakeholders.

- Comfortable working in a global environment across US and international teams.

- Skilled at translating complex technical decisions into clear direction for technical and non-technical audiences.

- Experience mentoring and coaching engineers, helping raise the technical bar across teams.

- Strong sense of ownership combined with a collaborative mindset, able to work effectively across team boundaries to deliver shared outcomes.

- Proactive in identifying opportunities and gaps across teams, and driving alignment to solve problems holistically rather than locally.

## Benefits

- Competitive base salary with DoorDash RSUs

- Opportunity to work on challenging AdTech problems at scale

- End-to-end ownership and high autonomy

- Strong opportunities for career growth and scope expansion

- Collaborative and diverse work environment

## Skills

### Required
- Kotlin
- Go
- Kubernetes
- Kafka
- MongoDB
- AdTech
- system architecture
- scalability
- reliability
- performance optimization

### Nice to have
- targeting
- ranking
- attribution
- experimentation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/wolt/jobs/7745684?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)