Top Tech Jobs & Startup Jobs in Toronto

Architect, implement, and maintain scalable, object-oriented test automation frameworks for UI and server-side microservices. Write production-grade automation code, integrate AI utilities for self-healing and predictive analytics, embed tests in CI/CD pipelines using container orchestration, validate APIs and databases, and collaborate with cross-functional teams to enable shift-left testing and rapid defect resolution.

Provide L2 production support for data and client platforms in a 24x6 global follow-the-sun model: incident triage, escalation, SLA-driven communications, problem management, monitoring/automation (Grafana, ITRS Geneos), scripting-based automation (Shell/Python), SQL-based data investigations, change management, and mentoring SMEs while contributing to cloud migration and AI-assisted operations initiatives.

Lead technical design and delivery of scalable systems, mentor engineers, and ensure coding standards while building cloud-native applications and architectures.

Lead design, implementation, and management of CI/CD, container platforms, IaC, and observability. Build pipelines with Tekton and Harness, administer OpenShift/Kubernetes, automate provisioning with Terraform/Ansible, and monitor systems with Prometheus/Grafana. Collaborate with development teams, ensure resiliency/scalability/security, drive platform strategy, perform root cause analysis, and enforce compliance and quality standards.

Lead and manage applications development teams to design, implement, and deliver high-quality, resilient payment systems. Provide technical oversight, drive architecture and code quality, manage releases and post-production support, and liaise with stakeholders. Coach engineers, govern processes (CI/CD, observability, TDD), and lead payment modernization projects within a banking payments domain.

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.

Design, build, and maintain scalable data pipelines and enterprise AI agents using Python, FastAPI, PySpark, Kafka, and Databricks. Deploy GenAI agents with Google ADK/Flash LLMs, build data federation and Data Mesh layers (Starburst), automate microservice integrations on cloud-native platforms (OpenShift/Kubernetes) with CI/CD, and integrate agentic tools (Devin.AI, GitHub Copilot, MCP) via prompt engineering. Ensure data quality, security, and regulatory compliance while improving data engineering processes.

Lead and manage Java development initiatives, ensuring high-quality application solutions while mentoring teams and overseeing architectural designs. Drive Agile delivery processes and system integrations while collaborating with stakeholders.

Hands-on senior data developer responsible for designing, building, and optimizing Hadoop-based and real-time streaming data pipelines (Kafka, Spark). Integrate AI/ML models and MLOps into production, ensure performance, security, and governance for banking data, mentor teammates, and deliver end-to-end data initiatives within small agile squads.

Design, develop, and implement enterprise Java applications across all SDLC phases. Perform systems analysis, estimation, testing, deployment, and user support. Apply cloud-native patterns (Kubernetes, Docker), event-driven design (Kafka), RDBMS design, API development, and application security. Coach junior staff, follow governance and compliance, and drive DevOps/CI-CD practices.