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Senior Manager, Software Engineering (Kotlin/Kubernetes)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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