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Engineering Manager (Infrastructure)

Формат работы
onsite
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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Описание вакансии

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TL;DR

Engineering Manager (Infrastructure): Lead a team to improve reliability, scalability, and performance of backend infrastructure including compute, networking, data storage, and observability with an accent on multi-cloud platforms, deployment pipelines, and cost optimization. Focus on designing scalable systems, improving developer velocity, and ensuring rock-solid reliability for enterprise customers.

Location: Onsite in San Francisco and New York

Company

hirify.global is a startup focused on automating coding by building advanced tools for professional programmers, backed by top investors and located in San Francisco and New York.

What you will do

  • Lead engineering teams to build and operate reliable, large-scale infrastructure and platform systems.
  • Build multi-region, multi-cloud compute platforms using Kubernetes and ECS.
  • Simplify and consolidate Terraform and deployment systems to improve reliability.
  • Design staged rollout and rollback pipelines for safer production releases.
  • Improve observability across metrics, logging, and alerting for better incident response.
  • Drive cost optimization efforts across compute, storage, and monitoring systems.

Requirements

  • Must be onsite in San Francisco or New York.
  • Proven experience leading engineering teams building large-scale infrastructure.
  • Deep knowledge of AWS, Azure, Terraform, and Kubernetes.
  • Strong understanding of databases, caching, and schema design tradeoffs.
  • Focus on reliability, performance, and developer velocity.
  • English proficiency at least B2 level.

Culture & Benefits

  • Flat organization with a small, talent-dense team.
  • Cozy offices with well-stocked libraries in North Beach, San Francisco and Manhattan, New York.
  • Passionate, truth-seeking, and creative team culture.
  • Opportunity to work with cutting-edge AI-driven engineering projects.

Hiring process

  • 2-3 interviews to assess fit.
  • Onsite interview including a small project, idea discussion, and team meeting.

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