Engineering Manager, Cloud Systems

Shopify

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $193k
$130k $256k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,500–$243,950.

Based on 240 similar postings.

Employer

About Shopify

Shopify is a leading global commerce platform that enables businesses of all sizes to start, grow, and manage their retail operations online and in-person. It provides tools for storefronts, payments, shipping, and marketing to millions of merchants worldwide.

Shopify currently has 18 open roles on FindRole.

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At a glance

TL;DR · Engineering Manager, Cloud Systems

The Engineering Manager - Cloud Systems leads a globally distributed team of senior software engineers responsible for the foundational infrastructure layer of the platform. You will set technical direction for compute, service discovery, internal routing, and egress routing systems while staying hands-on by reviewing code and pressure-testing architectural decisions. Key responsibilities include driving large-scale infrastructure projects, managing operational excellence through incident response, and partnering with the ML Infrastructure team to build GPU capabilities. You will utilize skills in distributed systems, operating systems, networking, and Kubernetes at fleet scale, specifically involving GKE or EKS. The role addresses the technical challenge of providing reliable, multi-cloud infrastructure and building custom Kubernetes and host OS for VMs to support high-scale production workloads and ML operations.

What does a Engineering Manager earn in Remote?

Median $239400 from 40 postings across 20 companies.

See salary data

What you'll do

  • Lead, grow, and coach a globally distributed team of senior software engineers.
  • Set technical direction for compute, service discovery, internal routing, and egress routing systems.
  • Review code, participate in design discussions, and pressure-test architectural decisions.
  • Drive execution on large-scale infrastructure projects and mitigate project risks early.
  • Own operational excellence including on-call health, incident response, and reliability improvements.
  • Partner with ML Infrastructure to build GPU capabilities and improve ML workload operations.
  • Shape the roadmap for multi-cloud expansion and internal Kubernetes and host OS development.

What we're looking for

  • Proven track record of leading software engineering teams, including senior and Staff-level engineers.
  • Background in SRE, production engineering, or infrastructure platform work with technical credibility to lead experienced engineers.
  • Hands-on experience running Kubernetes at fleet scale using GKE, EKS, or similar platforms.
  • Strong understanding of cloud networking, including load balancers, gateways, service discovery, and service mesh.
  • Solid fundamentals in distributed systems, operating systems, and networking.
  • Experience operating production systems with on-call responsibilities and leading teams through incidents.
  • Ability to manage a distributed team across multiple regions and time zones.
  • Experience with GPU or ML infrastructure, Terraform, multi-cloud, or building Kubernetes control planes (preferred).

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