GoDaddy logo

Senior Software Development Engineer – Ontario

GoDaddy  ·  Canada, Ontario
Hybrid Full-time Senior Engineering

Job Description

Location Details:

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.

Join our team

Join a team where you can help shape the future of our enterprise data platform through automation, modernization, and AI-enabled solutions. You will have the opportunity to build reliable platform services, improve self-service experiences for data producers and consumers, and develop AI-assisted and agentic automation that reduces manual work and improves developer productivity. This is an ideal opportunity for a hands-on engineer with strong Amazon Web Services and Python skills who enjoys solving complex platform challenges at scale.

Please note:

  • AI will not be used to screen, assess or select applicants other than as set out in the details in the application below.
  • This job posting relates to an existing vacancy.

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.

Canada:$128,500-$192,500 CAD

Apply Now

You'll be redirected to the company's application page

Benefits

  • Build and evolve artificial intelligence-assisted and agentic automation tooling, including migration support, impact assessment, and workflows that reduce manual effort for platform and data teams
  • Improve data producer and consumer experiences through self-service onboarding, platform workflows, automation, and scalable adoption patterns
  • Contribute to platform modernization efforts, including Apache Iceberg adoption, reliability improvements, and operational automation
  • Own platform reliability, operational support, and incident response during United States hours across Data Lake and related data platform services
  • Drive proactive root-cause analysis, after-action reviews, and implementation of durable fixes that improve long-term platform stability
  • Partner with engineering teams across United States and India time zones to maintain continuity, unblock users, and improve platform outcomes
  • Experience with data governance, access management, lakehouse architectures, or Apache Iceberg
  • Experience designing AI-enabled data platform capabilities that improve data discovery, analytics workflows, or engineering productivity

Requirements

  • 7+ years of software engineering or data platform engineering experience, including experience building scalable data platforms, platform tooling, or developer-facing systems
  • 5+ years of professional experience with Python, including experience building application programming interfaces, automation, platform tooling, and operational workflows, with the ability to troubleshoot distributed data systems
  • Production experience building artificial intelligence-assisted or agentic automation workflows for analytics, migration support, impact assessment, or platform enablement
  • Modular architectures and reusable platform patterns, including frameworks, plugins, marketplaces, or other approaches that support automation at scale
  • Large-scale data platforms, including self-service workflows, developer-facing tooling, and real-time and batch data patterns
  • Amazon Web Services technologies, including Amazon S3, AWS Lambda, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon API Gateway, and orchestration platforms such as Apache Airflow