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About the Role

Lead a horizontal engineering function and shared control plane to shape a more connected, observable, and automated technology ecosystem. Define architecture, standards, and operating models for command-and-control, SRE, process orchestration, release governance, and automation.

Responsibilities

Own and evolve the enterprise control plane architecture, establishing a scalable command-and-control layer.
Define and implement SRE and observability standards.
Lead release governance and change management frameworks.
Drive enterprise-wide automation by implementing AI-enabled monitoring and process orchestration capabilities.
Improve integration reliability across APIs, event streams, batch workflows, and vendor platforms.
Standardize developer experience by establishing common tooling, CI/CD pipelines, infrastructure patterns, and engineering practices.
Partner with Infrastructure, Security, Service Desk, Data teams, and external vendors to improve production health.
Establish and track performance metrics including SLOs, MTTR, deployment frequency, and automation rates.

Requirements

Proven senior leadership experience in platform engineering, SRE, DevOps, or engineering operations.
Track record of building and scaling shared engineering capabilities across complex, federated technology environments.
Deep expertise in at least two areas such as SRE/observability, platform engineering, systems integration, release engineering, or process automation.
Ability to apply expertise pragmatically at enterprise scale.
Strong understanding of distributed systems architecture, including APIs, event-driven design, data flows, and cross-system dependencies.
Experience improving resilience and performance across interconnected platforms.
Hands-on experience implementing CI/CD pipelines, infrastructure as code, containerization, orchestration platforms, and modern deployment strategies.
Proficiency with observability and monitoring tools such as Datadog, Grafana, Prometheus, ELK/OpenSearch, or cloud-native platforms.
Experience designing enterprise-wide telemetry and alerting strategies.
Experience operating within regulated environments, designing and implementing change controls, audit-ready processes, and governance frameworks.
Familiarity with workflow orchestration and process intelligence tools such as ServiceNow, Jira, Camunda, Temporal, or similar platforms.
Practical understanding of AIOps and automation trends.
A structured, engineering-led leadership style.
Strong stakeholder management skills, capable of influencing across teams and driving alignment without introducing unnecessary bureaucracy or slowing delivery.

Skills

SRE/observability
Platform engineering
Systems integration
Release engineering
Process automation
Distributed systems architecture
APIs
Event-driven design
CI/CD pipelines
Infrastructure as code
Containerization
Orchestration platforms
Observability and monitoring tools
Telemetry and alerting strategies
Change controls
Audit-ready processes
Governance frameworks
Workflow orchestration
Process intelligence tools
AIOps
Automation trends

Location

Canada

Work Type

Hybrid

Experience Level

Senior leadership

Salary/Compensations

$170,000 - $185,000
Annual performance bonus

Benefits

Competitive total compensation
Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Continuous learning budgets
Paid study days
Support for professional designations
Social events
Volunteering opportunities
Strong commitment to corporate social responsibility
Flexible work practices

About the Company

Connor, Clark & Lunn Financial Group is one of Canada’s top-performing asset managers.
We are invested in our greatest asset, you.
Our shared goals reflect what matters most to our people: Your community, your growth, and recognizing you.

Equal Opportunity

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.
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.