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5 дней назад

Senior Staff Engineer (Shipping)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
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 Staff Engineer (Shipping): Building global shipping partner platforms, tracking pipelines, delivery prediction models, and fraud detection systems with an accent on streaming data, complex integrations, and scalable architecture. Focus on designing state machines for noisy tracking data, improving production reliability, and leading technical strategy across multiple teams and systems.

Location: Remote - Americas

Company

hirify.global is an ecommerce platform that helps entrepreneurs and enterprises start, operate, and scale businesses, serving millions of merchants in 175 countries.

What you will do

  • Own technical strategy across the multi-team Shipping domain, including labels, carrier integrations, tracking, and delivery predictions.
  • Lead architecture and execution for the Shipping Partner Platform and shipping workflows across Admin, Core, and Shipify.
  • Build and evolve the Package Tracking streaming pipeline with Flink to improve tracking updates.
  • Develop models and state machines to parse raw tracking data and predict delivery dates, package location and state, and suggested actions.
  • Build fraud detection models, scalable data pipelines, and reliable feature-data systems for downstream modeling.
  • Improve reliability, performance, observability, incident response, and operational practices while mentoring technical leaders and aligning with senior leaders.

Requirements

  • Ability to lead across teams and systems, particularly in ambiguous problem spaces.
  • Strong architecture and execution skills in complex domains with multiple integrations and workflows.
  • Strong experience with streaming and data processing systems; Flink is preferred.
  • Experience building scalable data pipelines and ensuring high-quality feature data for downstream consumers.
  • Strong production engineering fundamentals, including reliability, observability, incident response, and performance.
  • Strong communication skills and the ability to set direction, influence, and mentor across an organization.

Nice to have

  • Experience with shipping or logistics domains, including carrier integrations, labeling, tracking, or delivery predictions.
  • Experience with fraud detection systems and modeling.
  • Experience designing state machines for event-driven systems and noisy external data sources.
  • Experience operating systems at very large scale with high event volumes and high reliability requirements.

Culture & Benefits

  • Digital-first daily work.
  • Environment focused on independence, rapid growth, resilience, resourcefulness, and comfort with ambiguity and change.
  • Employees are encouraged to use AI agents and tools for suitable tasks.
  • AI-enabled tools may be used to screen, select, and assess applications, with outputs reviewed by the recruitment team.

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