Top Tech Jobs & Startup Jobs in Toronto

Hands-on technical leader for backend/platform systems: design and operate distributed, reliable services, build third-party integrations, mentor engineers, drive architecture and operational excellence (monitoring, tracing, alerts), and partner with product and other teams to deliver scalable, production-grade features.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

Design and implement distributed software systems to handle data at scale. Perform code reviews and collaborate with teams. Monitor and manage business-critical services.

The role involves designing and maintaining scalable backend systems, building data pipelines, creating an intuitive reporting UI, and mentoring junior engineers in a collaborative environment.

Lead and maintain Movable Ink's Salesforce environment: daily admin, security and data management, declarative automation (Flows), requirements gathering, backlog grooming, UAT coordination, and documentation to support GTM teams and platform releases.

Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.

Design, build, and operate a unified data platform: ingesting, processing, and exposing large volumes of data. Develop scalable ingestion pipelines, storage layers, observability, SLIs/SLOs, multi-tenant models, and metadata/ governance to enable secure cross-product data access and migrations from legacy systems.

Hands-on Senior Site Reliability Engineer responsible for improving infrastructure tooling and automation, building and supporting core applications, monitoring capacity and performance, troubleshooting incidents, participating in on-call rotations, and collaborating across teams to scale a multi-cloud, multi-region content serving platform and advance observability and SLO frameworks.

Deliver and maintain scalable, reliable full-stack solutions across front-end WYSIWYG designer experiences and back-end rendering systems. Write well-tested, reusable code, refactor to reduce technical debt, build tooling and processes, conduct empathetic code reviews, collaborate with stakeholders, mentor teammates, and drive projects from design through rollout.

Lead productionization of deep learning models and scale ML systems for marketing personalization. Build, optimize, monitor, and deploy reliable, high-performance AI products; integrate research into product, mentor engineers, and drive adoption and evaluation (A/B testing, monitoring, orchestration).