обновлено 13 дней назад
Senior Manager, Software Engineering (Kotlin/Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Software Engineering (Logistics, Time Estimations) (Kotlin/Kubernetes): Leading three engineering squads building reliable, low-latency, high-throughput systems for customer delivery time predictions with an accent on logistics, machine learning, and platform reliability. Focus on shaping the technical roadmap, improving SLOs and SLAs, coordinating cross-functional integrations, and developing engineering leadership.
Location: Berlin, Germany; hybrid work with two days per week on the Berlin campus. Relocation support to Berlin is available.
Company
is a global local delivery platform operating across dozens of countries, with logistics and quick-commerce products.
What you will do
- Lead three engineering squads responsible for foundational customer delivery time prediction components.
- Ensure reliability of low-latency, high-throughput prediction systems, including domain-level SLOs and SLAs, on-call readiness, and incident follow-up.
- Collaborate with Product, Operations, Analytics, Logistics leaders, and regional brands to improve business KPIs and integrations.
- Manage and mentor engineering managers and senior individual contributors while building a durable leadership layer.
- Shape the long-term technical roadmap by balancing feature development, reliability, cost efficiency, and modernization.
Requirements
- Experience with Kotlin/JVM, Kubernetes, Redis, and language-agnostic software engineering concepts.
- At least two years of leading squads through engineering managers.
- At least two years of experience working closely with machine learning, including model architectures, statistics, experimentation, training, inference, and monitoring.
- Experience with API-based communication such as gRPC and event-based systems such as SNS/SQS and Kafka.
- Experience managing cross-functional dependencies across Backend, Frontend/Mobile, Data Science, Operations, and Analytics.
- Experience with infrastructure as code, Kubernetes, Helm, Terraform, and AWS.
Culture & Benefits
- Hybrid working model with face-to-face collaboration at the Berlin campus.
- 27 days of annual holiday, increasing with service.
- €1,000 annual educational budget, language courses, parental support, and Udemy Business access.
- Health checkups, meditation, gym and bicycle subsidies.
- Employee share purchase plan, pension plan, life and accident insurance, public transport discounts, meal vouchers, and corporate discounts.
Hiring process
- Interview preparation resources are provided, including common interview questions.
- Accessibility accommodations can be requested during the interview process.
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