Top Tech Jobs & Startup Jobs in Toronto

Develop and maintain scalable ETL pipelines across cloud and on-premise environments. Build Agentic AI solutions for workflow automation, data validation, and monitoring. Ensure data quality, integrity, and performance while collaborating with architects and business users. Responsibilities also include application development, code analysis, vulnerability identification, testing, debugging, issue resolution, stakeholder advising, and compliance with technology and risk policies.

Lead the architecture, development, optimization, and operation of large-scale batch and real-time data platforms. Build Spark, Databricks, Kafka, and lakehouse pipelines handling multi-terabyte to petabyte-scale datasets. Optimize Spark and SQL performance, manage governance and monitoring, establish data-modeling and operational standards, and lead a global data engineering team through technical delivery, mentoring, stakeholder collaboration, and risk management.

Leads the design, development, deployment, and ownership of scalable enterprise applications using Java and microservices. Translates business requirements into secure technical designs, establishes coding and architectural standards, resolves complex technical issues, and oversees testing and implementation. Mentors developers, conducts code reviews, advises stakeholders, manages technical dependencies, and promotes engineering excellence while ensuring compliance, risk management, and protection of company and client assets.

Lead full-stack application development and systems analysis, designing scalable cloud-native applications and integrating Python or Java backends with modern JavaScript frontends. Establish coding, testing, debugging, and implementation standards; resolve complex technical and business problems; guide architecture alignment; support GenAI integrations and workflows; assess risk and compliance; and mentor developers and analysts.

Leads the architecture, development, deployment, and governance of enterprise-scale Python-based Generative AI platforms and services. The role manages complex technology projects, coordinates stakeholders and vendors, guides engineering teams, supports risk and control practices, and mentors developers. Responsibilities include building scalable API-driven systems, delivering production GenAI solutions, managing resources and budgets, improving processes, and advising on AI ecosystem strategy within a banking environment.

Develop and support application systems while leading cloud migrations and modernizing infrastructure. Responsibilities include administering OpenShift, Kubernetes, and Docker platforms; building CI/CD pipelines; automating infrastructure with Terraform and Ansible; developing AI-driven platform automation; supporting AWS and Google Cloud environments; ensuring security, availability, and compliance; and advising stakeholders and junior analysts.

Leads the design, configuration, delivery, and support of SmartStream TLM reconciliation solutions using Oracle, PL/SQL, and Unix technologies. Oversees reconciliation workflows, match rules, controls, dashboards, testing, releases, production support, and root-cause analysis. Leads TLM and technical analysts, manages delivery risks and milestones, conducts reviews, mentors team members, and collaborates with business and technology stakeholders to deliver auditable, compliant solutions.

Leads end-to-end development of scalable enterprise applications using Java, J2EE, Spring Boot, cloud platforms, databases, and messaging technologies. Responsibilities include feasibility analysis, architecture guidance, coding, testing, deployment, security compliance, technical support, process improvement, and mentoring junior developers. The role collaborates with business users, product owners, and technology teams while managing technical delivery and contributing to standards, Agile practices, and CI/CD pipelines.

Lead the design, architecture, and development of scalable Java full-stack applications for Citi’s global client onboarding platform. Build real-time microservices, RESTful APIs, reusable components, and high-performance applications while ensuring reliability, testing, and continuous integration. Mentor developers, conduct code reviews, contribute to architectural decisions, evaluate new technologies through proofs of concept, communicate with stakeholders, and provide post-release support.

Lead architecture and full lifecycle delivery for high-throughput global payment platforms. Design resilient Java and Spring Boot microservices, multi-region failover, event-driven systems, APIs, and zero-downtime deployments. Establish engineering standards, observability, DevOps practices, and AI-enabled development capabilities while mentoring cross-functional teams. Partner with product, business, and operations stakeholders to deliver secure, scalable payment infrastructure.