Senior Development Manager, Data Reliability Engineering (Remote - Americas)

Shopify Remote (Americas)

This role is no longer accepting applications.

About the role

This is a senior engineering management role at Shopify, leading the Data Reliability Engineering group that operates and scales the company's data platform. It suits an experienced engineering leader who can manage multiple teams while staying hands-on with reliability, availability and performance problems across a large-scale data stack. The role is remote within the Americas.

What you’ll do

  • Manage several teams and help them prioritize, build and ship impactful features
  • Build and grow high-performing teams through internal development and hiring
  • Work directly with teams on data engineering roadmap problems
  • Strengthen relationships across the company to unblock teams and deliver products
  • Lead the data reliability group including embedded product reliability and tooling/infrastructure operations

What they’re looking for

  • Proven experience leading reliability engineering teams that scale distributed systems
  • Proven technical leadership using technologies and frameworks similar to Shopify's stack
  • Experience hiring and mentoring data-focused engineers and managers
  • Strong familiarity with all components of a typical data stack, from acquisition to serving
  • Strong software-centric approach to system scaling and reliability problems
  • Exceptional communication skills for technical and non-technical stakeholders
  • Track record building and growing large engineering teams

Nice to have

  • Experience working with remote teams across different timezones
  • Experience providing reliability to data ecosystems at petabyte scale

What’s on offer

  • Remote work within the Americas

Questions about this role

Is this role remote?

Yes, it is remote within the Americas.

What technologies does this team use?

The stack includes Spark, dbt, BigQuery, Beam, Dataflow, Presto, BigTable and Druid, with plans to adopt Flink.

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