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Senior Cloud Developer

Bank of Nova Scotia - Toronto

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior Cloud Developer Toronto Requisition ID: 260874 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Senior Cloud Developer will be joining the Global Fraud Authentication Technology team. The purpose of this position/role is to lead the design, development, and implementation of cloud-based solutions that support the organization's fraud detection and prevention initiatives. This role is crucial for ensuring the seamless migration of existing systems to cloud platforms, optimizing cloud infrastructure for performance and cost-efficiency, and maintaining high standards of security and compliance. In this role you will: Cloud Architecture and Development: Design, develop, and implement cloud-based solutions on Google Cloud Platform (GCP) to support real-time fraud detection and prevention applications. Incident Management: Respond to and resolve cloud-related incidents, ensuring minimal downtime and impact on operations. Security and Compliance: Ensure all cloud solutions comply with industry standards and regulations, including PCI compliance for data tokenization and encryption. Performance Optimization: Optimize cloud infrastructure for performance, scalability, and cost-efficiency, including managing dataflow jobs and reducing system lag. Data Management: Oversee the ingestion, storage, and processing of large datasets, ensuring data integrity and security. Migration and Integration: Lead the migration of existing systems to cloud platforms, en

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