Top Tech Jobs & Startup Jobs in Toronto

Leads TTEC Digital’s GCP data engineering practice, including enterprise data architecture, ingestion pipelines, real-time analytics, lakehouse platforms, governance, security, GenAI infrastructure, and cloud cost optimization. Oversees GCP solution delivery, client and executive engagements, presales support, CI/CD, infrastructure as code, data quality, and monitoring. Manages and mentors agile engineering teams while driving talent development, certifications, and practice growth.

Leads engineers and technical leads in delivering AI-powered customer experience and contact center products. Responsibilities include solution architecture, technical design reviews, implementation planning, customer deployments, cross-functional coordination, risk management, operational readiness, and evaluation of emerging AI and CCaaS technologies. The role develops architecture diagrams, oversees complex software implementations, and guides integrations across cloud, AI, and contact center platforms.

Senior SDET responsible for automation-first quality engineering for AI-driven CX platform. Build and maintain fast, parallelized regression suites, load/stress tests, CI-integrated tests, API/contract tests, and synthetic traffic generation. Rapidly detect, isolate, and report issues; collaborate with devs to ensure weekly deploy quality for real-time, event-driven services.

Lead-platform principal engineer who codes, debugs, and sets reference implementations across AI-powered CX systems. Own platform architecture decisions, unblock squads by shipping production code, mentor engineers, and build high-capacity, event-driven distributed systems integrating messaging, multiple DB types, multi-cloud, and advanced AI (LLMs, RAG, agents).

Lead a squad as a player‑coach building event-driven, high-throughput, low-latency platform services and AI/ML pipelines. Implement Go services, connectors, and real-time WebSocket backends; own latency budgets, delivery, code quality, and weekly demos.

Lead day-to-day engineering for an AI-first SaaS platform, owning delivery, hiring, squad performance, architecture reviews, cross-team dependencies, and driving AI-assisted engineering practices to ship weekly demos at high quality.

Lead the agent and supervisor product experience for a B2B SaaS contact-center platform: own Agent UI, Control UI, and Active Listening UX. Define information hierarchy, latency budgets, RBAC and accessibility; partner with design and engineering, write one-page specs, run customer pilots, and measure success via AHT, adoption, CSAT, and suggestion acceptance.

Own the platform behind AI CX products: AI services (APIs, eval, guardrails, latency, cost), Desktop Intercept (capture, OS integration, PII redaction), and integrations (CCaaS, CRM, telephony, data warehouses). Prioritize by revenue impact, set latency/cost budgets, define metrics and acceptance criteria, drive reliability/privacy as features, and produce crisp one-page specs to ship to enterprise customers.

The Engagement Director leads complex transformation engagements, ensuring client success and managing client relationships and escalations while driving business growth through effective project delivery and leadership.