Staff Software Engineer - Onboarding and Migrations

Role overview Lead engineering work on customer onboarding and migrations by building backend applications and data pipelines from the ground up. The role combines scalable services, data integration, production operations, and technical leadership, working with product, data, and engineering partners to take solutions from design through operation.

Responsibilities - Design, build, and maintain backend services, APIs, and microservices, using languages such as Java or Python. - Develop data pipelines, ELT processes, and integrations that support analytics and reporting across structured and unstructured data. - Improve service and database performance, reliability, scalability, and maintainability; investigate production issues and participate in incident response and on-call rotations. - Apply data security, privacy, quality, and governance practices, and collaborate with analysts and data scientists on data availability and accuracy. - Maintain CI/CD workflows, deployment automation, and documentation for code, architecture, and data processes. - Guide technical design and delivery, collaborate across disciplines, and mentor less experienced engineers.

Requirements - At least eight years of software engineering experience involving data pipelines, integration, and database management. - Strong programming skills in Python, Java, or Scala, with knowledge of data modeling, ELT, and warehousing. - Experience with cloud infrastructure, preferably AWS, and services such as S3, Glue, Athena, DynamoDB, or Kinesis. - Hands-on experience with data integration and orchestration tools such as Fivetran and Airflow. - Familiarity with relational and non-relational databases and data warehouses; examples listed include Aurora, Cassandra, DynamoDB, and Snowflake. - Ability to lead ambiguous work through design, deployment, and operations, communicate with technical and non-technical partners, and mentor engineers.

Nice to have - A relevant master’s degree or AWS-related certification. - Experience with Kubernetes or other cloud-based containerized workloads. - Responsible use of AI tools, including reviewing generated output and protecting sensitive information.

Benefits and work setup - Remote work is available within Ontario or British Columbia, Canada. - The listed annual base salary range is CAD 156,800–196,000; pay is calibrated based in part on skills, experience, and work location. - Eligible employees may receive annual bonuses. Benefits listed include health plan options, flexible vacation and floating holidays, retirement contributions, company equity, remote-work and professional-development stipends, and family-forming and parental-leave support.