Top Tech Jobs & Startup Jobs in Toronto

3 Days AgoSaved
Hybrid
Toronto, ON, CAN
Entry level
Entry level
Consumer Web • eCommerce • Internet of Things
Develop, test, support, and troubleshoot production software for a scalable TLD Registry Platform. Build web applications, services, background services, and class libraries using object-oriented programming, SQL, NoSQL, and AWS cloud technologies. Participate in the full software development lifecycle, provide on-call support, identify root causes, improve system performance and maintainability, and collaborate with experienced engineers across a global organization.
Top Skills: Amazon Api GatewayAmazon Aurora PostgresqlAmazon DynamodbAmazon EcsAWSAws GlueAws LambdaAws Step FunctionsC# .NetJavaMs-SqlMySQLNoSQLPostgresQueuing TechnologiesService BusService-Oriented ArchitectureSQL
15 Days AgoSaved
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Consumer Web • eCommerce • Internet of Things
Manages Business Operations resource allocation, daily workflows, process improvement, operational roadmaps, and cross-functional delivery for registry activities. Leads a global team, oversees hiring and performance management, prioritizes stakeholder requests, monitors KPIs, reviews deliverables, and partners with Product and Engineering on automation, bug fixes, and workflow enhancements.
15 Days AgoSaved
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Consumer Web • eCommerce • Internet of Things
Leads global Business Operations for the Identity Digital Registry, overseeing resource allocation, workflow improvement, operational roadmaps, reporting, project coordination, and stakeholder satisfaction. Manages teams across Toronto and Dublin, partners with Product and Engineering on system improvements and automation, and oversees hiring, onboarding, coaching, performance management, KPIs, and capacity planning.
One Month AgoSaved
Hybrid
Toronto, ON, CAN
Mid level
Mid level
Consumer Web • eCommerce • Internet of Things
Develops, deploys, and monitors production data and machine learning pipelines. Responsibilities include data preparation, exploratory analysis, predictive modeling, feature and algorithm selection, model deployment, infrastructure development, and monitoring model performance, data quality, drift, latency, and reliability. The role also requires communicating insights, collaborating cross-functionally, and translating business problems into scalable data and ML solutions.
Top Skills: AirflowArgo WorkflowsAWSBigQueryDatabricksGCPGitKubernetesLarge Language ModelsLlmopsMlflowMlopsPandasPolarsPythonPyTorchShapShell ScriptingSnowflakeSQLTensorFlowVector Databases
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