Top Tech Jobs & Startup Jobs in Toronto

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.

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.

Develop and support backend Java applications for Citi’s capital-markets platform. Responsibilities include system analysis, application design, coding, testing, implementation, production support, security improvements, risk assessment, and stakeholder consultation. The role requires independent problem solving, technical guidance for junior analysts, and collaboration across technology teams while maintaining compliance and operational standards.

Leads the architecture, development, modernization, and operation of highly available enterprise applications using Java, Spring Boot, Kafka, Oracle, and cloud-native technologies. Mentors engineers, conducts code reviews, manages technical planning, and establishes engineering standards. Designs microservices, APIs, CI/CD pipelines, containerized deployments, testing strategies, observability, and security controls. Troubleshoots production performance issues and partners with stakeholders on governance, risk, and modernization initiatives.

Leads the architecture, development, modernization, and deployment of scalable Java enterprise applications and cloud-native microservices. Provides technical leadership and mentorship, drives Kafka-based event systems, Oracle persistence, REST APIs, containerization, CI/CD, automated testing, observability, performance tuning, and secure software governance. Partners with product, project, DevOps, and architecture teams while guiding agile delivery and adopting AI-assisted engineering tools.

Lead development of internal tools and platforms that improve engineering productivity and developer experience. Design, build, deploy, and optimize scalable web applications and cloud services using Java, Spring, Angular, React, and OpenShift. Collaborate with stakeholders, implement microservices and REST solutions, establish automated testing and deployment practices, and provide technical leadership for platform improvements. The role also involves monitoring, debugging, tuning, and maintaining highly reliable enterprise applications.