Senior Manager, Software Engineering - (Logistics, Time Estimations)

Deliveryhero; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

27 days holiday

Educational Budget

Language Courses

Parental Support

Udemy Business access

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

Zusammenfassung

Delivery Hero is seeking a Senior Manager Software Engineering - (Logistics, Time Estimations) to join the Seamless Domain in Berlin. You will lead three squads, shape the technical roadmap, and ensure reliable, low-latency time prediction systems powering our logistics network.

Hybrid work in Berlin with two on-site days, collaboration with Product, Operations, and Analytics, and mentoring of engineering managers and senior ICs across teams to drive business KPIs and exceptional customer

Qualifikationen

• Experience leading multiple engineering squads and mentoring managers.
• Strong knowledge of JVM, Kotlin, Kubernetes, and cloud workloads.
• Ability to align engineering with product and business goals.

Aufgaben

• Lead squads across three teams to deliver time-prediction components.
• Maintain low-latency, high-throughput systems and reliability.
• Collaborate with Product, Operations and Analytics to impact KPIs.
• Drive technical roadmap balancing features, cost, and modernization.
• Mentor engineers and establish delegation to empower teams.

Jobbeschreibung

We are on the lookout for a Senior Manager Software Engineering - (Logistics, Time Estimations) to join the Seamless Domain on our journey to always deliver amazing experiences.

In our Logistics Team, you'll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.

Our Domain makes sure customers experience delivery as predictable, explainable, and trustworthy across the entire order lifecycle. We do this by predicting accurately based on all available data, setting expectations before order placement, managing deviations after order placement, and providing clear, calming order tracking that preserves trust when reality diverges from the plan.

Your Mission

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. This includes improving domain-level SLOs and SLAs, maintaining 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.

Shape the Long-term Domain Vision: Translate tribe-level objectives into a clear technical roadmap. Balance feature development with reliability, cost efficiency, and modernization initiatives.

You are familiar with the 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.

You are a knowledgeable technical guide, with min. 2 years of lead of leading squads through managers, who aligns with and supports product and business goals.

You have min 2 years experience of 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.

You are comfortable with both API-based (gRPC) and event-based communication (SNS/SQS, Kafka).

You believe in cross-functional teams (Backend, Frontend/Mobile, DataScience, Operations, Analytics) and have experience managing dependencies across tasks and teams.

You have experience working with IaaC setups; most of our infrastructure runs on Kubernetes deployed with Helm and terraform in AWS.

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you're in good shape, then we're in good shape.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy
• Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

Wondering what relocating to Berlin is like? In this article, we've put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.

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, r