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2 дня назад

Engineering Manager (Data Automation)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Engineering Manager (Data Automation) (Python/AWS): Leading the design and operation of mission-critical analytics infrastructure and data automation tooling with an accent on scalability and system reliability. Focus on managing a team of engineers, optimizing high-load data pipelines, and integrating AI into core workflows.

Location: Hybrid office work 3x/week out of the Boston office

Company

hirify.global is a data-driven marketing automation platform that empowers creators to leverage first-party data for personalized ecommerce experiences.

What you will do

  • Build and manage a team of 7+ engineers to execute the data automation vision and roadmap.
  • Define the technical and organizational vision for the Data Automation team.
  • Design and operate reliable, fault-tolerant distributed systems for mission-critical analytics infrastructure.
  • Own frameworks used to provision, update, test, and scale infrastructure serving 183,000+ customers.
  • Optimize analytics systems providing insights on hundreds of terabytes of data.
  • Transform operational workflows by integrating AI to build smarter systems from the ground up.

Requirements

  • 8+ years of software engineering experience in a DevOps environment with a focus on data processing systems.
  • 3+ years of people management experience.
  • Must be able to work hybrid 3x/week from the Boston office.
  • Hands-on experience designing and operating high-performance distributed systems.
  • Proficiency in Python, Ruby, or Go using industry best practices.
  • Practical experience experimenting with AI tools and workflows to improve efficiency.

Culture & Benefits

  • Comprehensive range of health, welfare, and wellbeing benefits.
  • Participation in the company's annual cash bonus plan and equity options.
  • Culture that encourages moving out of comfort zones and learning new technologies.
  • Inclusive environment that values unique backgrounds and perspectives.
  • Opportunity to own and scale features end-to-end from scratch.

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