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7 дней назад

Software Engineer (Infrastructure)

128 000 - 184 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (Infrastructure): Building and optimizing the CI/CD platform that powers development velocity with an accent on build, test, and release workflows. Focus on managing artifact lifecycles, optimizing cloud infrastructure on AWS, and improving developer productivity through internal tooling.

Location: Toronto, Canada

Compensation: $128,000 – $184,000

Company

hirify.global is a cloud data platform company powering the era of the agentic enterprise.

What you will do

  • Develop and maintain CI/CD pipelines to ensure reliable build, test, and release workflows.
  • Manage artifact lifecycle systems, including versioning, storage, distribution, and dependency management.
  • Partner with development teams to design code review workflows and branching strategies.
  • Provision, monitor, and optimize AWS cloud infrastructure to support CI workloads.
  • Troubleshoot build failures and pipeline bottlenecks through root-cause analysis.
  • Create internal tooling and automation to enhance engineering productivity.

Requirements

  • 2-5 years of professional experience in DevOps, infrastructure, or software engineering.
  • Practical experience building or maintaining automated build and deployment pipelines.
  • Understanding of artifact repository management and software packaging concepts.
  • Experience with AWS and programmatic resource provisioning.
  • Foundational knowledge of Linux/Unix, networking fundamentals, and automation scripting.
  • Experience with containerization and Kubernetes.

Nice to have

  • Familiarity with infrastructure-as-code (IaC) tools and practices.
  • Scripting proficiency in Python, Groovy, or Bash.
  • Exposure to build systems and build graph optimization.
  • Understanding of observability practices, including monitoring, logging, and alerting.
  • BS/MS in Computer Science or equivalent practical experience.

Culture & Benefits

  • Dynamic and fast-moving environment with an experimental mindset.
  • Collaborative culture for low-ego individuals who treat AI as a core partner.
  • Opportunity to help redefine the future of work within a rapidly scaling organization.

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