Top Tech Jobs & Startup Jobs in Toronto

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Design, scale, and performance-tune GraphQL APIs, gRPC services, and SQL queries for a promotions engine. Deliver end-to-end features, own complex technical problems, troubleshoot production performance, set up DataDog monitoring, participate in on-call rotations, and mentor teammates across the codebase.

Design, build, scale, and optimize backend services powering the sportsbook marketplace. Own GraphQL APIs, gRPC endpoints, SQL performance, monitoring, on-call and release duties. Identify production bottlenecks, drive scalability improvements, mentor engineers, review cross-team changes, and deliver end-to-end features in an agile environment.

Lead design and delivery of platform capabilities for a federated GraphQL and event-driven architecture. Build and optimize gRPC endpoints, GraphQL APIs, and SQL/Postgres queries. Own observability (DataDog, Bugsnag), scalability, reliability, incident response, and integrations. Mentor engineers and drive cross-team technical efforts to reduce friction and accelerate product delivery.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

Design, scale, and performance-tune GraphQL APIs, gRPC services, and SQL queries for iCasino features. Own complex technical problems, build end-to-end integrations with game providers, improve production scalability, set up DataDog monitoring, participate in on-call rotations, and mentor other engineers.

Design and maintain a federated GraphQL server-driven UI and full-stack client platform. Build shared React/TypeScript libraries, optimize GraphQL/SQL performance, set observability in DataDog, operate services on Kubernetes, own releases and on-call duties, improve testing and CI/CD, mentor teammates, and collaborate with product and design to deliver accessible, high-performance customer-facing features.