Top Tech Jobs & Startup Jobs in Toronto

Leads fulfillment and customer experience process operations for credit card customers. The role drives operational excellence, compliance, automation, data-informed transformation, vendor partnerships, performance management, and cross-functional initiatives. This leader establishes management systems for KPIs, quality, capacity, and budgets while developing high-performing operational teams and influencing enterprise strategy.

The Distinguished Engineer defines technical vision, architects scalable cloud solutions, ensures design and implementation quality, and advises engineering teams on performance, operability, and other non-functional requirements. The role provides technical thought leadership across the organization, mentors engineers, communicates expertise through documentation and code samples, supports multiple initiatives, and contributes hands-on to advanced software development and architecture.

Lead hands-on software development, technical design, architecture, and full SDLC delivery for fault-tolerant, cross-functional applications. Establish engineering standards, improve internal frameworks and developer experience, provide technical guidance, contribute to high-level design, and mentor junior and intermediate engineers. The role uses cloud technologies and modern software practices in a hybrid environment.

Lead full-stack software development across the lifecycle, owning architecture and technical design for fault-tolerant, cross-platform applications. Establish engineering standards, improve developer tools and frameworks, provide technical support, and mentor junior and intermediate engineers. Build front-end and back-end systems using modern programming languages, databases, and cloud services while collaborating with technical and business stakeholders.

Own the product vision, roadmap, KPIs, and business outcomes for software products. Conduct customer discovery, translate insights into priorities, collaborate with technology, data, strategy, and design teams, and guide technical tradeoffs. Build stakeholder alignment, deliver customer-focused experiences, and use quantitative and qualitative analysis to refine product direction. The role requires at least three years of software product management experience and successful software product delivery.

Lead hands-on software development across the full SDLC, owning technical design, architecture, and development of fault-tolerant, cross-functional applications. Establish engineering standards, improve internal tools and developer experience, provide technical guidance, and mentor junior and intermediate engineers. Collaborate with technical and business stakeholders in an agile, cloud-based environment.

Provides AML advisory support to Canadian business lines, operationalizes policies, evaluates risks and control effectiveness, oversees reporting and regulatory assessments, and drives program enhancements. The role advises senior stakeholders, supports audits and regulatory engagements, delivers training, oversees KYC and customer due diligence controls, analyzes emerging risks, and recommends improvements to AML governance, processes, and technology.

Develop and scale AI-powered developer productivity capabilities, enterprise developer tooling, CI/CD systems, internal platforms, and full-stack applications. Optimize developer workflows, infrastructure, build systems, GitHub ecosystems, and code review processes. Collaborate with engineering, product, and business leaders to deliver reliable technical solutions, evaluate emerging technologies, solve complex problems, mentor engineers, and promote continuous learning.

Leads a hybrid servicing operations ecosystem spanning quality management, mailroom operations, and outsourced customer service. Owns servicing processes, quality assurance, risk mitigation, analytics, workflow modernization, and AI-enabled automation. Manages employees, contractors, and QA teams while driving continuous improvement, stakeholder alignment, vendor oversight, and enterprise transformation initiatives.

Lead data science initiatives for agentic AI products, partnering with data scientists, AI/ML engineers, and product managers. Build, deploy, validate, and optimize machine learning models using large-scale numeric and textual data. Design A/B tests, analyze telemetry, translate technical findings into business strategy, research emerging technologies, and develop talent while guiding enterprise-scale AI decisions.