Delivery Hero
Manager, Software Engineering, Java/Kotlin(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Senior Manager Software Engineering - Logistics, Time Estimations(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Leading teams for customer time predictions on low-latency systems. Min. 2 years of leading squads through managers required. Hybrid working, 27 days holiday, 1000 € educational budget.
Anforderungen
- Familiarity with Kotlin/JVM, Kubernetes, Redis
- Programming language agnostic with clear understanding of core concepts and paradigms
- Knowledgeable technical guide
- Min. 2 years of leading squads through managers
- Alignment with and support of product and business goals
- Min 2 years experience with Machine Learning
- Understanding of ML model/architecture pros/cons
- Understanding of key statistical concepts
- Understanding of experiment designs
- Understanding of training, inference, and monitoring of live-serving models
- Experience with low latency and high throughput models
- Comfort with API-based communication (gRPC)
- Comfort with event-based communication (SNS/SQS, Kafka)
- Belief in cross-functional teams
- Experience managing dependencies across tasks and teams
- Experience with IaC setups
- Experience with Kubernetes deployed with Helm and terraform in AWS
- English language proficiency
Aufgaben
- Lead teams for customer time predictions
- Ensure reliability of low-latency systems
- Improve domain-level SLOs and SLAs
- Maintain on-call rotation and incident analysis
- Collaborate with Product, Operations, and Analytics
- Coordinate with stakeholders and domain leaders
- Manage and mentor engineering managers and ICs
- Establish a strong delegation framework
- Build a second layer of leadership
- Attract top engineering talent
- Shape long-term domain vision
- Translate objectives into technical roadmap
- Balance feature development with reliability
- Focus on cost efficiency and modernization
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Kotlin/JVM
- Kubernetes
- Redis
- gRPC
- SNS/SQS
- Kafka
- Helm
- Terraform
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working model
Mehr Urlaubstage
- 27 days holiday
- Extra holiday on 2nd and 3rd year of service
Sonstige Zulagen
- 1000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
- Relocation support
Betriebliche Altersvorsorge
- Corporate Pension Plan
Mitarbeiterrabatte
- Corporate Discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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DEDelivery Hero
Senior Manager Software Engineering - Logistics, Time Estimations(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Leading teams for customer time predictions on low-latency systems. Min. 2 years of leading squads through managers required. Hybrid working, 27 days holiday, 1000 € educational budget.
Anforderungen
- Familiarity with Kotlin/JVM, Kubernetes, Redis
- Programming language agnostic with clear understanding of core concepts and paradigms
- Knowledgeable technical guide
- Min. 2 years of leading squads through managers
- Alignment with and support of product and business goals
- Min 2 years experience with Machine Learning
- Understanding of ML model/architecture pros/cons
- Understanding of key statistical concepts
- Understanding of experiment designs
- Understanding of training, inference, and monitoring of live-serving models
- Experience with low latency and high throughput models
- Comfort with API-based communication (gRPC)
- Comfort with event-based communication (SNS/SQS, Kafka)
- Belief in cross-functional teams
- Experience managing dependencies across tasks and teams
- Experience with IaC setups
- Experience with Kubernetes deployed with Helm and terraform in AWS
- English language proficiency
Aufgaben
- Lead teams for customer time predictions
- Ensure reliability of low-latency systems
- Improve domain-level SLOs and SLAs
- Maintain on-call rotation and incident analysis
- Collaborate with Product, Operations, and Analytics
- Coordinate with stakeholders and domain leaders
- Manage and mentor engineering managers and ICs
- Establish a strong delegation framework
- Build a second layer of leadership
- Attract top engineering talent
- Shape long-term domain vision
- Translate objectives into technical roadmap
- Balance feature development with reliability
- Focus on cost efficiency and modernization
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Kotlin/JVM
- Kubernetes
- Redis
- gRPC
- SNS/SQS
- Kafka
- Helm
- Terraform
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working model
Mehr Urlaubstage
- 27 days holiday
- Extra holiday on 2nd and 3rd year of service
Sonstige Zulagen
- 1000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
- Relocation support
Betriebliche Altersvorsorge
- Corporate Pension Plan
Mitarbeiterrabatte
- Corporate Discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Delivery Hero
Branche
Logistics
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Delivery Hero
Manager, Software Engineering, Java/Kotlin(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Delivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Software Engineer - (Golang)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Distribusion Technologies GmbH
Senior Engineering Manager, Supply(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, All - Delivery Hero
Staff Software Engineer - AdTech Demand(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin