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Top Engineering Jobs in Toronto, ON
Marketing Tech • Mobile • Software
Build and scale backend-focused software for Braze’s petabyte-scale Data Lakehouse. Develop data pipelines, asynchronous processing, ETL applications, and end-to-end features across platforms such as Snowflake, ClickHouse, and Databricks. Drive architectural decisions, contribute to technical strategy, and deliver scalable web applications handling high volumes of data and traffic in an agile environment.
Top Skills:
AirflowAmazon SqsAnalyticsBiClickhouseData WarehousingDatabricksDistributed SystemsETLKafkaMicroservicesPythonRabbitMQReactRuby On RailsSidekiqSnowflake
Marketing Tech • Mobile • Software
Build and maintain backend-focused, end-to-end software for Braze’s petabyte-scale Data Lakehouse platform. Develop infrastructure and tools supporting Snowflake, ClickHouse, and Databricks, manage high-volume event data, and deliver front-end experiences when needed. Collaborate across teams, apply strong software design and algorithms knowledge, and help scale systems handling billions of daily rows and significant customer and internal workloads.
Top Skills:
AnalyticsBusiness IntelligenceClickhouseData WarehousingDatabricksDistributed SystemsMicroservicesPythonSnowflake
Marketing Tech • Mobile • Software
Build and scale Braze’s WhatsApp messaging platform, including sending, analytics, subscription management, customer dashboards, and event processing. Develop features, improve system performance and resilience, contribute to architectural decisions, and collaborate with teammates on distributed systems operating at scale. The role also involves providing engineering guidance and participating in an agile team environment.
Top Skills:
AgileDistributed SystemsMongoDBPostgresRuby on RailsReactRedisRubySidekiqTypescript
Marketing Tech • Mobile • Software
Build, maintain, and evolve Braze’s Kafka-based Currents data export system, which processes tens of billions of messages daily. Lead projects from concept through production, improve high-scale distributed systems, collaborate with engineers, mentor teammates, and address challenges involving data streaming, microservices, and foundational software infrastructure.
Top Skills:
ConfluentDistributed SystemsJavaKafkaKotlinMicroservicesReact
Marketing Tech • Mobile • Software
Build and maintain high-scale email delivery infrastructure, including personalized email systems, subscription REST APIs, preference-management pages, reporting data processing, and customer-domain dashboards. Develop features, improve performance, guide architectural decisions, and optimize systems for resilience and scalability. The role requires full-stack development experience, technical leadership, strong fundamentals in algorithms and data structures, and effective teamwork and communication.
Top Skills:
AgileGoJavaScriptMongoDBPostgresReactRest ApisRubyRuby On RailsTypescript
Marketing Tech • Mobile • Software
Build and scale Braze’s SMS and RCS channels, including message composition, delivery, responses, analytics, click tracking, and link shortening. Ship full-stack features, own technical areas, solve open-ended distributed-systems problems, and improve platform reliability as traffic grows. Collaborate across teams, communicate clearly, and drive initiatives from concept through delivery.
Top Skills:
MongoDBPostgresRuby on RailsReactRedisRubySidekiqTypescript
Marketing Tech • Mobile • Software
Leads the Landing Pages engineering team and product, overseeing architecture, development, platform scalability, APIs, integrations, hosting, reporting, and customer adoption. Partners with product and design to prioritize initiatives using usage data, while recruiting, coaching, and retaining engineers. Owns the team’s vision, goals, processes, and technical execution, contributing directly to code and key architectural decisions when needed.
Top Skills:
APIsTemplating SystemsWeb Hosting
Marketing Tech • Mobile • Software
Lead reliability engineering for Braze’s NGINX ingress fleets, Kubernetes infrastructure, Ruby on Rails monolith, and Go API services. Design scalable, highly available systems; develop automated scaling routines; define SLIs, SLOs, and error budgets; conduct capacity planning; and participate in PagerDuty on-call rotations. Drive incident response, root-cause analysis, blameless retrospectives, runbook improvements, and resilient architecture decisions with product engineering teams.
Top Skills:
AnsibleAWSAzureChefDatadogGCPGoGrafanaHorizontal Pod Autoscaler (Hpa)JavaKafkaKubernetesLinuxMongoDBNginxPagerdutyPostgresPrometheusPythonRedisRubyTcp/IpTerraformUnix
Marketing Tech • Mobile • Software
Join the Cloud Data Ingestion & Transformation team to design, build, and operate scalable data ingestion and transformation systems. Own end-to-end features (primarily back-end with front-end delivery), process very high data volumes, drive architectural decisions, and improve platform reliability and customer data integrations.
Top Skills:
Amazon SqsApache AirflowApache KafkaDistributed SystemsDjangoETLMicroservicesPythonRabbitMQReactRuby On RailsSidekiqSnowflake
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