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3 дня назад

DevOps Engineer (Web Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
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
DevOps Engineer (Web Platform) (AWS/Kubernetes): Building and operating reliable CI/CD, release, and observability infrastructure for Node.js and React web applications with an accent on deployment safety, production reliability, and containerized AWS environments. Focus on scaling Kubernetes infrastructure, debugging production issues across application and platform layers, and improving testing, logging, and alerting workflows.

Location: Irvine, California, United States; hybrid

Company

hirify.global builds risk-aware, field-ready embodied AI systems for real robots, sensors, and real-world deployments.

What you will do

  • Own and improve CI/CD pipelines for Node.js and React web services and applications.
  • Design and maintain release processes for safe and reliable deployments.
  • Build testing and validation workflows that identify issues before production.
  • Manage and scale Docker and Kubernetes infrastructure in AWS.
  • Monitor production performance, reliability, uptime, logging, and alerting.
  • Partner with full-stack engineers and debug issues across application, infrastructure, and deployment layers.

Requirements

  • 3–8 years of experience in DevOps, infrastructure, or production engineering.
  • Strong experience with AWS, Docker, Kubernetes, and containerized environments.
  • Experience building and maintaining CI/CD pipelines, such as GitHub Actions.
  • Familiarity with Node.js, TypeScript, and React web stacks.
  • Experience managing production systems, debugging real-world issues, and applying testing strategies for release reliability.
  • Ability to take ownership of system stability and work cross-functionally with engineering teams.

Nice to have

  • Experience owning release processes and production readiness for web applications.
  • Experience improving reliability, uptime, and deployment safety at scale.
  • Familiarity with MongoDB or similar production databases.
  • Experience building internal tooling for developer workflows.
  • Experience in fast-paced startup environments.

Culture & Benefits

  • Work on embodied AI systems that are tested on real hardware and improved through field deployments.
  • Comprehensive benefits and equity participation.
  • Opportunity to contribute to advancements in AI and robotics.

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