Platform Engineering Manager

Interested in joining one of Canada’s top performing asset managers? We are looking for a Manager, Platform Engineering for an existing vacancy in our IS team. At CC&L Financial Group, strong, well-integrated technology platforms help our investment, operations and client-facing teams move with confidence. We are looking for a hands-on engineering manager to lead a small platform engineering team focused on systems integration, control and automation foundations that support systematic investment operations. This is a technical leadership role for someone who still enjoys the work. You will coach engineers, set practical standards, and step into the hardest reliability, integration, data workflow and production control problems when they need deep technical judgement. CC&L is growing, and our investment technology environment is becoming more connected across portfolio, trading, middle office, back office, risk, compliance, data and vendor platforms. This role will help build common patterns for observability, orchestration, data/control workflows, system-to-system integration and safe change in a complex, regulated environment. The goal is simple: fewer repeat issues, faster recovery, clearer ownership, stronger controls and better engineering practices across teams. Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week. 

What You Will Do 

• Lead and mentor a small team of platform system integration and reliability engineers while staying close to design and delivery. 

• Set practical engineering standards for observability, SLOs, incident response, deployment safety, infrastructure as code, production readiness and integration control. 

• Design and improve resilient system-to-system integrations across APIs, event streams, batch/file transfers, data workflows, vendor platforms and cloud or hybrid environments. 

• Build quant-grade infrastructure for systematic investment middle and back office operations, including workflow orchestration, data quality controls, reconciliations, exception handling, lineage and audit evidence. 

• Build automation and AIOps capabilities that reduce manual work, improve detection and recovery, and are safe enough for production use. 

• Take direct ownership of the most complex reliability, integration and production control problems, especially when incidents do not resolve cleanly. 

• Partner with investment, operations, risk, data, application, infrastructure and vendor teams to solve problems and make reusable patterns stick.