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About the Role

This role is critical to building and operating the systems that power personalized discovery at scale. You will own production services written in Go and Python that serve real-time recommendations across multiple surfaces, integrating tightly with machine-learning models and experimentation platforms.

Responsibilities

• Delivering, enhancing, and maintaining the recommendation system, ensuring it is robust, scalable, and observable.
• Working closely with other engineers on backend engineering and front-end related components.
• Collaborating with data engineering, data science, and product partners to translate recommendation strategies and models into production-grade engineering solutions.
• Designing, building, and operating the full recommendation flow from candidate retrieval to re-ranking, ensuring strict latency, availability, and correctness requirements.
• Building low-latency, high-throughput services in Go and Python that expose recommendation APIs, orchestrate model inference, and integrate with feature stores, vector databases, and downstream consumers.
• Owning the lifecycle of recommendation systems, including data contracts, offline/online consistency, feature freshness, and backfills, ensuring correctness, reproducibility, and debuggability.
• Operating Tier-1 recommendation services with strong observability, alerting, and incident response, continuously improving reliability, tail latency, and throughput.
• Following strong engineering practices across Go and Python codebases, including testing strategies, CI/CD, safe rollouts, and performance regression detection.
• Enabling fast iteration through A/B testing, shadow deployments, and controlled rollouts, partnering with Product and Data Science to support model experimentation while maintaining system stability.

Requirements

• Ability to convert high-level requirements into production-quality deliverables with some guidance.
• Consideration for how code fits into the overall ecosystem.
• Willingness to own and maintain tier-1 services, taking measured risks and applying prior learnings.
• Comfort with responsibility when provided with sufficient context.
• Experience with systems serving high-throughput live traffic.
• Familiarity with Go and Python, with experience on past projects serving production traffic at large scale, ideally in data-intensive or ML-enabled systems with strict performance requirements.
• Strong problem-solving skills, able to break down vague problem statements, propose solutions, and execute them.
• Collaborative mindset, able to balance short-term goals with long-term solutions and align personal ambitions with team goals, with guidance from senior engineers.

Skills

• Go
• Python
• Backend Engineering
• Data-intensive systems
• ML-enabled systems
• Observability
• Alerting
• Incident Response
• CI/CD
• A/B testing

Location

• Berlin, Germany

Work Type

• Hybrid

Experience Level

• Engineer II

Benefits

• 27 days holiday with an extra day on 2nd and 3rd year of service
• 1.000 € Educational Budget
• Language Courses
• Parental Support
• Access to Udemy Business platform
• Health Checkups
• Meditation & Gym
• Employee Share Purchase Plan
• Sabbatical Bank
• Public Transportation Ticket Discount
• Life & Accident Insurance
• Corporate Pension Plan
• Digital Meal Vouchers
• Food Vouchers
• Relocation support for moving to Berlin

About the Company

• The world's pioneering local delivery platform, with a mission to deliver an amazing experience, fast, easy, and to your door.
• Operates in around 65 countries worldwide, powered by tech, designed by people.
• One of Europe’s largest tech platforms, headquartered in Berlin, Germany.
• Listed on the Frankfurt Stock Exchange since 2017 and part of the MDAX stock market index.
• A place where high performance and real community grow side by side, encouraging curiosity, collaboration, and meaningful work.

Equal Opportunity

• Diversity and inclusion are key to creating an exciting product and an amazing customer and employee experience.
• Does not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
• Encourages candidates to notify of any needed accommodations or specific accessibility support for a smooth interview experience.
• Severely disabled applicants with equal qualifications will be given preferential consideration.
• Welcomes candidates to share their pronouns (he/she/they) from the start.