Top Tech Jobs & Startup Jobs in Toronto

Design, develop, test, deploy, and support enterprise full-stack applications. Build React interfaces, Java and Spring Boot back-end services, APIs, microservices, databases, and cloud deployments. Contribute to CI/CD, automated testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Design and develop production-grade optimization models and services for workforce planning, forecasting, scheduling, and resource allocation. Build OR-Tools/CP-SAT constraint models, define schedule quality metrics, validate algorithm performance, and integrate optimization capabilities into an enterprise workforce management platform. Collaborate with product, architecture, engineering, and workforce-planning stakeholders to translate business requirements into mathematical models and operationally effective schedules.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Integrate AI solutions with enterprise systems and APIs, implement planning, memory, tool-calling, observability, and monitoring capabilities, and support production-grade generative AI platforms. Collaborate with engineering teams and stakeholders on architecture, reliability, performance, and scalable AI engineering practices.

Own the end-to-end data architecture for contact center telephony, workforce management, and quality data. Design Bronze/Silver/Gold lakehouse pipelines, Kimball dimensional models, ingestion and watermarking strategies, reconciliation controls, orchestration, and high-volume API and vendor-feed integrations. Build and optimize Databricks and Delta Lake solutions using SQL and Python/PySpark, while supporting parallel migration, legacy decommissioning, and communication of architectural decisions to technical and business stakeholders.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, and SQL. Build APIs, microservices, databases, and cloud-native solutions while supporting CI/CD, automated testing, security, troubleshooting, and documentation. Collaborate with product, architecture, QA, DevOps, and business teams to deliver scalable and maintainable digital solutions.

Build, configure, and test Google Contact Center AI Platform solutions, including DTMF IVR menus, multilingual prompts, call flows, queues, routing, transfers, callbacks, and integrations. Develop test cases, support UAT, resolve configuration defects, maintain requirements traceability, and produce technical documentation, call flow diagrams, and operational runbooks. Collaborate with customer stakeholders while following change management and release procedures.

Build, configure, and test Google Contact Center AI Platform solutions, including DTMF IVR menus, call flows, queues, routing, transfers, callbacks, and integrations. Execute structured testing, support UAT, resolve configuration defects, maintain requirements traceability, and prepare technical documentation, diagrams, and operational runbooks. Collaborate with technical and business stakeholders while following change management and release procedures.

Build, configure, and test production contact center solutions on Google CCAI Platform. Responsibilities include creating DTMF IVR menus, call flows, queues, routing logic, integrations with CRM and conversational AI systems, and transfer workflows. The role also develops test cases, supports UAT, resolves configuration defects, maintains requirements traceability, and produces technical documentation, diagrams, and operational runbooks while collaborating with customer stakeholders.

Lead the design and delivery of Java and Spring Boot microservices for core banking systems. Build secure, scalable, cloud-native APIs and event-driven workflows while integrating LLMs, RAG, vector databases, and agentic automation. Develop and test production services, define security, caching, and observability strategies, contribute to architecture decisions, and promote AI-assisted engineering practices across development teams.

Lead the design and development of Java and Spring Boot microservices for a major banking client. Build secure, scalable, event-driven, cloud-native systems integrating LLMs, RAG, vector databases, and agentic workflows. Implement architect-designed solutions, develop APIs, manage application security, and establish caching and observability strategies. Promote AI-assisted engineering and GitHub Copilot adoption while contributing to design reviews, technology selection, governance, and developer mentorship.