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.
Qualifications
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.
Senior Manager, Software Engineering - (Logistics, Time Estimations) • Berlin, DE
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