Godaddy Com LLC

Godaddy Com LLC

Staff Software Engineer

British Columbia, Canada · Staff+ · Full-time

Sponsorship not specified$154k-$231kDetected 137 days ago
TypeScriptPythonGoBashNode.jsDynamoDBAWSCloud PlatformsDockerKubernetesPlatform EngineeringCybersecurityCommunicationCollaboration

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 24 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 53%

Of 15 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 423 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Location Details: BC or ON - Canada, Remote At GoDaddy the future of work looks different for each team.
  • Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you'll be working remotely from your home.
  • You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

Requirements

  • 10+ years of software engineering experience, with depth in Python (3.10+) and at least one of Go, TypeScript/Node.js, or Bash for systems and infrastructure automation.
  • Proficiency with infrastructure as code - AWS CDK (Python or TypeScript) or CloudFormation/Sceptre - including stateful resource management, multi-region deployments, and least-privilege IAM design.
  • Bachelor of Science in Computer Science, Computer Engineering, Information Systems, or Math.
  • Kubernetes experience is a plus; experience with multi-account, multi-region AWS organization management is particularly valuable.

Compensation

  • In addition to the salary range below, the role may be eligible to participate in a discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance.
  • $153,500 - $230,500 CAD

Benefits

  • In addition to the salary range below, the role may be eligible to participate in a discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance.
  • Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental leave, healthcare, retirement savings program, and much more.
  • This role may be eligible to participate in GoDaddy's equity plan.

Company info

  • We are dedicated to giving our customers the tools, insights, and the people to transform their ideas and personal initiative into success.
  • We're looking for a Staff Software Engineer who loves to dive into technology and pull it all apart to see how it works, then put it back together again better than it was before.
  • Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success.

This listing is sourced directly from Godaddy Com LLC's careers page and normalized into a canonical job model.