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Data Engineer Cloud Computing AI Engineer

Sr. Google Cloud Developer to review and develop AI agents and data solutions Google platform

Remote / Online - Candidates ideally in
Regina, Saskatchewan, S4M, Canada
Listing for: S.i. Systems
Contract, Remote/Work from Home position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, AI Engineer
Job Description & How to Apply Below
Position: Sr. Google Cloud Developer to review and develop AI agents and data solutions on the Google platform

Our client is looking for a Sr. Google Cloud Developer to review and develop AI agents and data solutions on the Google platform
.

This is a remote position that will require a background check.

Tasks include:

  • Develop AI agents on the google platform, and review code for existing agents
  • Support the implementation of Gemini Enterprise
  • Use AI tools to augment coding
  • Common tools in use will be Vertex AI, Big Query ML, Python, etc.
  • Develop and implement strategies for data ingestion, integration, transformation, and storage
  • Collaborate with key stakeholders across IT, data science, and business teams to gather requirements and ensure the platform meets all needs.
  • Establish best practices for data governance, security, and compliance, ensuring adherence to relevant regulatory requirements.
  • Design and implement monitoring and alerting for the data platform to ensure optimal performance and reliability.
  • Work with engineering teams to ensure scalability, performance optimization, and cost-efficiency in the cloud environment.
  • Provide technical leadership and mentoring to internal teams throughout the migration and beyond.
  • Stay up to date with industry trends and best practices in data architecture, cloud computing, and big data solutions

    • Must have:

  • Meet requirements for an internal background check
  • 3+ years experience in Data Architecture with expertise in cloud data platforms
  • Prior experience developing AI agents in the Google platform
  • Experience with Google Big Query and Google data tools
  • Familiarity with CI/CD pipelines and Dev Ops practices in data engineering environments
  • Relevant GCP Professional certifications (such as: Cloud Architect, Cloud Database Engineer, Cloud Developer, Data Engineer)
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