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. 
• Improve observability signal quality, reducing noise and shortening time to detect and resolve incidents
• The most difficult reliability, integration and production control issues are handled with calm, clear technical leadership. 

What You Bring 

• Strong hands-on depth in at least two of: site reliability engineering, observability, platform engineering, systems integration, production data engineering, release engineering or production automation. 

• Experience building or running production observability with tools such as Datadog, Grafana, Prometheus, OpenTelemetry, ELK/OpenSearch, Azure Monitor or similar. 

• Good understanding of distributed systems and integration patterns, including APIs, event-driven design, batch/file processing, data flows, failure modes, idempotency and vendor workflows. 

• Hands-on experience with CI/CD, infrastructure as code, containers, orchestration and modern deployment patterns. 

• Experience designing infrastructure, controls or automation for investment management, capital markets middle/back office operations, enterprise data/integration or another high-availability regulated environment. 

• Practical judgement on data quality, reconciliation, exception handling, lineage, audit evidence and release governance without creating unnecessary delivery friction. 

• Experience leading engineers through design review, coaching, pairing and clear feedback. 

• Experience with ServiceNow, Camunda, Temporal, Argo, Airflow, Dagster, dbt, Celonis or similar orchestration/process tools would be beneficial. 

• Exposure to systematic investing, portfolio/trading workflows, middle/back office platforms, IBOR/ABOR, enterprise data platforms or vendor platforms such as SimCorp, BlackRock Aladdin, Arcesium or similar would be nice to have. 

• Experience with Azure, Snowflake, Databricks, cloud-native monitoring, operational data platforms, automation frameworks or practical AI/AIOps use cases are a bonus. 

The salary range for this position is $140,000 - $160,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process. 

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