Top Tech Jobs & Startup Jobs in Toronto

The Java Full Stack Developer leads applications systems analysis, resolves complex problems, develops standards for coding, and coaches mid-level developers while ensuring compliance and risk assessment.

Lead the design and implementation of application systems, provide technical expertise, mentor developers, and ensure compliance with standards and regulations.

The Front End Java Developer will design and implement web applications, develop back-end services, and work in a team to enhance system efficiency and performance.

The role involves system analysis, programming, project management, and developing application systems to meet business needs while providing support and guidance.

The role involves developing AI agents, integrating tools, ensuring design quality, collaborating with teams, and keeping updated on AI advancements.

The Senior Programmer Analyst participates in the development and implementation of application systems, provides operational support, and analyzes complex IT issues. Responsibilities include overseeing development processes, consulting with clients, and ensuring compliance with security measures.

The Data Reporting Lead Analyst will analyze project data, develop reports and dashboards, ensure data integrity, and support PMO decision-making processes.

The Program Management Lead Analyst partners with teams to execute marketing campaigns and initiatives, manages budgets, legal approvals, and assesses risks while ensuring compliance. Requires strong project management and communication skills over 6-10 years in marketing and financial services.

Senior individual-contributor full-stack engineer who architects and implements AI-augmented, cloud-ready, scalable financial applications. Leads architecture, champions SDD/TDD/BDD/DDD, integrates AI tools into the SDLC, mentors engineers, and optimizes Oracle and MongoDB interactions for performance and resilience.

Design, build, and maintain scalable AI agents and enterprise-grade ELT/ETL pipelines using Python, PySpark, Databricks, and microservices. Deploy and integrate LLMs and agentic AI (Google ADK, Devin.AI, MCP), ensure data quality, security, and CI/CD-driven cloud-native operations, and drive data federation and Data Mesh solutions.