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About the Role

Lead teams responsible for foundational components of customer time predictions, ensuring high reliability of low-latency, high-throughput systems. Collaborate with Product, Operations, and Analytics to maximize business KPI impact and coordinate with stakeholders across teams and brands for seamless integrations.

Responsibilities

• Lead the teams responsible for the foundational components of our customer time predictions components.
• Ensure the high reliability of multiple low-latency high-throughput systems that power time predictions.
• Improve domain-level SLOs and SLAs.
• Maintain a well-trained on-call rotation and incident analysis and follow-up.
• Collaborate with Product, Operations and Analytics to ensure engineering has maximum impact on business KPIs.
• Coordinate with stakeholders and across teams and work with other domain leaders in Logistics and in all Regional Brands to ensure seamless integrations.
• Manage and mentor engineering managers and senior ICs across three squads.
• Establish a strong delegation framework so decisions happen closest to the context.
• Build a durable second layer of leadership and attract top engineering talent.
• Translate tribe-level objectives into a clear technical roadmap.
• Balance feature development with reliability, cost efficiency, and modernization initiatives.

Requirements

• Familiar with Kotlin/JVM, Kubernetes, Redis and programming language agnostic with a clear understanding of core concepts, and paradigms, and can abstract this knowledge to multiple scenarios.
• Knowledgeable technical guide with a minimum of 2 years of leading squads through managers, who aligns with and supports product and business goals.
• Minimum 2 years of experience working close enough with Machine Learning to understand the pros/cons of different models and architectures, key statistical concepts, experiment designs, training, inference, and monitoring of live-serving models in the context of low latency and high throughput.
• Comfortable with both API-based (gRPC) and event-based communication (SNS/SQS, Kafka).
• Belief in cross-functional teams (Backend, Frontend/Mobile, DataScience, Operations, Analytics) and experience managing dependencies across tasks and teams.
• Experience working with IaaC setups; most of our infrastructure runs on Kubernetes deployed with Helm and terraform in AWS.

Skills

• Kotlin/JVM
• Kubernetes
• Redis
• gRPC
• SNS/SQS
• Kafka
• IaaC
• Helm
• Terraform
• AWS
• Machine Learning
• API-based communication
• Event-based communication

Location

• Berlin, Germany

Work Type

• Hybrid

Experience Level

• Senior Manager
• Minimum 2 years of lead experience
• Minimum 2 years of Machine Learning experience

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 & Bicycle Subsidy
• Employee Share Purchase Plan
• Sabbatical Bank
• Public Transportation Ticket Discount
• Life & Accident Insurance
• Corporate Pension Plan
• Digital Meal Vouchers
• Food Vouchers
• Corporate Discounts

About the Company

• As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door.
• We operate in over 70+ countries worldwide, powered by tech, designed by people.
• As one of Europe’s largest tech platforms, headquartered in Berlin, Germany.
• Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
• We enable creative minds to deliver solutions that create impact within our ecosystem.
• We move fast, take action and adapt.
• No matter where you're from or what you believe in, we build, we deliver, we lead.
• We are Delivery Hero.

Equal Opportunity

• We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
• Fostering this starts with hiring - therefore we do 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.
• We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
• Severely disabled applicants with equal qualifications will be given preferential consideration.
• You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.