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3 дня назад

Senior Manager Software Engineering (Logistics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Manager Software Engineering (Logistics): Leading engineering teams responsible for foundational customer time prediction components with an accent on high-throughput, low-latency system reliability and cross-functional collaboration. Focus on building a durable leadership layer, defining technical roadmaps, and integrating machine learning models into delivery operations.

Location: Must be based in or able to relocate to Berlin, Germany (Hybrid: 2 days/week in office).

Company

hirify.global is a pioneering global local delivery platform headquartered in Berlin, operating in over 70 countries and listed on the Frankfurt Stock Exchange.

What you will do

  • Lead and mentor engineering managers and senior individual contributors across three squads.
  • Ensure high reliability and performance of low-latency, high-throughput systems powering time predictions.
  • Collaborate with Product, Operations, and Analytics to align engineering efforts with business KPIs.
  • Define the long-term technical vision and roadmap for the domain.
  • Establish a strong delegation framework to empower decision-making at the team level.
  • Coordinate seamless integrations across logistics domains and regional brands.

Requirements

  • Minimum 2 years of experience leading squads through other managers.
  • Strong familiarity with Kotlin/JVM, Kubernetes, and Redis.
  • Minimum 2 years of experience working closely with Machine Learning models, architectures, and live-serving monitoring.
  • Proficiency in both API-based (gRPC) and event-based (Kafka, SNS/SQS) communication.
  • Experience with Infrastructure as Code (Terraform) and cloud environments (AWS).
  • Ability to manage dependencies across cross-functional teams including Backend, Mobile, and Data Science.

Nice to have

  • Experience in logistics or high-scale e-commerce domains.
  • Deep understanding of statistical concepts and experiment design for ML.

Culture & Benefits

  • Hybrid working model with a beautiful campus in Berlin.
  • 1,000 € annual educational budget and access to Udemy Business.
  • 27 days of holiday plus service-based increases.
  • Comprehensive health benefits including checkups, gym/bicycle subsidies, and meditation support.
  • Financial perks including Employee Share Purchase Plan, corporate pension, and meal vouchers.
  • Relocation support for those moving to Berlin.

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