Назад
1 день назад

Engineering Manager (Storage)

291 250 - 341 250CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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

Engineering Manager (Storage): Leading the Apps & Experiences Storage team to design and scale mission-critical, high-throughput storage systems with an accent on reliability, performance, and technical strategy. Focus on mentoring engineers, driving architecture design, and collaborating with product teams to deliver robust platform solutions.

Location: Hybrid in Toronto, Ontario

Compensation: CA$291,250 – CA$341,250

Company

Snowflake is a cloud-based data platform company powering the era of the agentic enterprise.

What you will do

  • Own the technical strategy and execution for the storage team, from design to deployment.
  • Provide deep technical oversight through design reviews and architecture discussions.
  • Mentor and coach engineers while growing a diverse, high-performing team.
  • Define team deliverables and ensure platform availability, maintainability, and performance.
  • Collaborate with Product Management to translate user needs into technical roadmaps.
  • Improve engineering processes, tooling, and standards to increase velocity.

Requirements

  • 9+ years of experience in designing and building large-scale production systems.
  • 2+ years of experience in managing and leading teams for mission-critical, high-throughput systems.
  • Experience with Redis, Postgres, and blob storage solutions like S3, Azure Blob, or Google Cloud Storage.
  • Strong hands-on technical skills with the ability to drill deep into system design.
  • BS/MS/PhD in Computer Science or equivalent experience.
  • Must be based in or able to work from Toronto, Ontario.

Nice to have

  • Extensive development experience in cloud environments (AWS, Azure, GCP).

Culture & Benefits

  • Focus on innovation and challenging ordinary thinking.
  • Opportunity to work on AI-native tools and agentic enterprise solutions.
  • Collaborative environment with a focus on low-ego, experimental mindsets.

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