Top Tech Jobs & Startup Jobs in Toronto

Leads application systems analysis and software development, establishing architectures, coding standards, testing practices, and implementation strategies. Partners with management and technology teams to deliver system enhancements, products, and process improvements. Designs distributed, multithreaded, microservices-based applications; analyzes performance; automates SDLC processes; resolves complex technical problems; and mentors developers and analysts while ensuring compliance and risk management.

Design, build, and deploy enterprise-grade agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and research emerging AI technologies. Collaborate in agile teams, ensure security, reliability, and regulatory alignment, and mentor junior engineers while delivering production-ready capabilities through rapid, MVP-focused iteration.

Develop and maintain scalable, resilient Java applications for a cloud-native operations workflow and case management platform. Design solutions, write and test code, promote engineering best practices, participate in Scrum ceremonies, and collaborate with product owners, architects, QA, and business stakeholders. The role uses Kubernetes, Docker, Kafka, databases, APIs, security practices, and CI/CD technologies to deliver financial technology solutions.

Leads architecture and development of scalable Java applications for Citi’s regulatory reporting platform. Designs Spring Boot, SQL, microservices, messaging, and big data solutions; establishes engineering standards; resolves complex technical issues; collaborates with architecture, infrastructure, and business teams; mentors engineers; and ensures compliance, data integrity, and regulatory adherence.

Design and build scalable Java, Spring Boot, and Kotlin microservices using MongoDB. Apply DevOps, Site Reliability Engineering, and OpenTelemetry observability practices; plan and deliver technology projects; analyze business and system processes; implement security measures; and consult with stakeholders. The role operates independently as a subject matter expert while mentoring junior engineers and advising senior stakeholders.

Develop and support Java and Spring Boot applications for equities middle-office workflows, including trade processing, allocations, regulatory compliance, and Asia market expansion. Responsibilities span application design, development, testing, deployment, production support, vulnerability remediation, cloud and containerized infrastructure, and automated integration testing. The role partners with business, QA, platform, compliance, and audit teams while coaching junior developers and supporting strategic modernization initiatives involving AI tools.

Leads engineering initiatives involving hardware, software, network infrastructure, system integration, technology roadmaps, controls, compliance, and process enhancements. Acts as a technology subject matter expert, diagnoses root causes, assesses business risk, advises stakeholders, mentors engineers, and guides projects. Requires extensive engineering experience, backend programming expertise, infrastructure and DevOps knowledge, analytical ability, and strong communication skills.

Leads engineering activities spanning hardware, software, network infrastructure, system integration, technology roadmaps, controls, compliance, and product enhancements. Serves as a technology subject matter expert, assesses risks, diagnoses root causes, mentors junior staff, and influences engineering decisions. The role requires backend programming, databases, networking, REST APIs, CI/CD, containerization, analytics, project management, and operational process improvement in complex financial-services environments.

Leads architecture, development, and roadmap strategy for an enterprise Infrastructure as Code inventory orchestration platform. Builds automation using Python, Ansible, and Rust across middleware, databases, OpenShift, and AWS. Governs AI-assisted development tools, ensures compliance and security, resolves infrastructure incidents, drives integrations and process improvements, and mentors engineers. The role also coordinates cross-team delivery, translates business needs into technical solutions, and establishes platform standards and responsible AI adoption practices.

Design and develop high-performance Java backend services and scalable data-processing architectures using Java 17 and Spring Boot. Build microservices, optimize SQL queries and data pipelines, resolve performance issues, and apply test-driven development, static analysis, and modern architectural patterns. Collaborate with cross-functional teams to deliver business-critical features while using AI-assisted development and prompt engineering to improve delivery and code quality.