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Platform Engineering Manager

Connor, Clark & Lunn Financial Group Ltd.
Toronto, CAN
Manager
Onsite
Discovered 1 weeks ago
airflowazuredatabricksdatadogdbtgrafana

Full Job Posting

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.
  • #LI-hybrid #LI-KC1
  • What We Offer At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:
  • Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
  • Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
  • Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.
  • For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [email protected] if you require accommodation. AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

Qualifications

  • 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.

Preferred Qualifications

  • 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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