Senior Manager, Software Engineering - (Logistics, Time Estimations) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Oct, 26

Salary

0.0

Posted On

06 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kotlin/JVM, Kubernetes, Redis, Machine Learning, gRPC, Kafka, SNS/SQS, Terraform, Helm, AWS, Engineering Management, Technical Roadmap Planning, SLO/SLA Management, Incident Analysis, Cross-functional Leadership, IaaC

Industry

technology;Information and Internet

Description

Company Description 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. Job Description 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. Additional Information 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. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! 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.

Responsibilities

Lead teams responsible for foundational customer time prediction components and ensure the reliability of low-latency, high-throughput systems. Manage and mentor engineering managers and senior ICs while translating tribe-level objectives into a technical roadmap.