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Software Engineer, Backend Developer, Cloud Engineer - Software

Job in Toronto, Ontario, C6A, Canada
Listing for: Fivetran
Full Time position
Listed on 2026-09-23
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 140000 CAD Yearly CAD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
  • Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies
  • We’re seeking an enthusiastic Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our No

    SQL data pipeline services
Technologies You’ll Use:
  • Java
  • MongoDB, Amazon DynamoDB, Azure Cosmos DB
  • AWS, GCP, Azure
  • Bazel, Docker, Kubernetes, Github
  • Write and deliver code reliably, along with automated tests (unit and integration)
  • Optimize code to make it more performant
  • Break down project work into tasks with estimates
  • Give and receive feedback through code reviews
  • Collaborate daily with team members to develop new features and improvements while minimizing technical debt
  • Resolve customer issues in collaboration with customer support
  • Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring
  • Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations
  • Ability to troubleshoot problematic code and identify root cause(s)
  • Knowledge of popular No

    SQL databases (e.g. MongoDB, Amazon DynamoDB)
  • Expertise in Java development
  • Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
  • Experience using AI coding agents for development
  • Knowledge of and appreciation for clean code practices
  • Experience developing reliable software with high-volume data management under strict SLAs
  • Experience working with MongoDB and/or Amazon DynamoDB change data capture
  • Experience developing data integration tools (ETL or ELT)
  • Experience identifying and optimizing performance bottlenecks in distributed systems
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