Lead Engineer

At Raymond James, we develop, we collaborate, we decide, we deliver, and we improve together.

Raymond James Ltd. is Canada’s leading independent investment dealers offering high quality investment products and services to Canadians seeking customized solutions to their wealth management needs.

Lead Engineer

How does the role impact the organization?

The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and operational efficiency of the technology platforms that enable business operations at Raymond James Ltd Canada. The role provides hands-on engineering leadership and design authority without direct people-management responsibility, and works across Canadian and enterprise technology teams to translate standards and strategic direction into secure, reliable, supportable solutions.

The Lead Engineer will apply deep infrastructure and platform engineering expertise, strong communication and analytical skills, and evidence-based decision making across the following capabilities:

• Technical Leadership and Engineering Standards
• Infrastructure Automation and Control Evidence
• Azure and Hybrid Infrastructure Engineering
• Platform, Datacentre and Disaster Recovery Engineering
• Service Reliability and Observability
• AI-Enabled Engineering and Operational Efficiency
• Security, Governance and Service Ownership

What will your role be responsible for?

• Provide technical leadership, design authority, and engineering guidance to engineers and contractors to ensure operational excellence across Digital Workplace & Platform services.
• Design, build, and own enterprise automation for server and platform provisioning, patching, configuration, lifecycle management, and recurring operational activities.
• Engineer automation with monitoring, exception handling, logging, and reporting so failures are detected proactively and control effectiveness can be demonstrated.
• Develop and maintain automated control-evidence capabilities, including backup compliance reporting, ticket automation, certificate lifecycle reporting, and configuration-data accuracy.
• Integrate infrastructure workflows with ServiceNow and related enterprise systems to reduce manual fulfilment, improve traceability, and maintain accurate configuration data.
• Lead the evaluation and engineering of virtualization, storage, datacentre, backup, disaster recovery, and cyber-recovery technologies; provide written recommendations covering architecture, cost, risk, supportability, and migration approach.
• Lead the engineering required for Azure and hybrid infrastructure adoption, including landing zones, networking, identity integration, policy, tagging, governance, cost controls, and Azure Arc-based hybrid management.
• Ensure cloud and hybrid foundational architecture, operational controls, and support models are established before production workloads are migrated or adopted.
• Define and implement observability and service-reliability practices for critical services, including synthetic monitoring for tier-one applications and measurable improvement in alert quality and actionability.
• Establish and maintain clear ownership for platforms, services, security groups, operational controls, documentation, and support models so accountability is readily identifiable and auditable.
• Design, build, and govern AI-enabled automations and agents that reduce engineering and operational effort while complying with the firm's AI usage governance and data-sensitivity requirements; measure and report realized benefits.
• Set and maintain engineering standards for design review, infrastructure-as-code, documentation, runbook quality, operational readiness, and production supportability, and reinforce those standards through technical review.
• Identify and communicate technology, operational, security, and control risks early, documenting impact and recommending practical remediation paths.
• Provide senior technical escalation and tier-three engineering support for critical platform issues when required, including participation in appropriate support or on-call arrangements.
• Undertake other Digital Workplace & Platform accountabilities as assigned.

What can you expect from us?

Our most important investment is in people. Upon eligibility, Raymond James Ltd offers flexible workstyles, a competitive compensation and benefits package. Our benefits range from Health Benefits, RRSP Matching Program, Employee Stock Purchase Plan, Paid Time Off, Volunteer Days, Discretionary Bonuses, Tuition Reimbursement and many more! We also support internal promotion and community involvement.

At Raymond James, we develop, we collaborate, we decide, we deliver, and we improve together.

Raymond James Ltd. is Canada’s leading independent investment dealers offering high quality investment products and services to Canadians seeking customized solutions to their wealth management needs.

Lead Engineer

How does the role impact the organization?

The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and operational efficiency of the technology platforms that enable business operations at Raymond James Ltd Canada. The role provides hands-on engineering leadership and design authority without direct people-management responsibility, and works across Canadian and enterprise technology teams to translate standards and strategic direction into secure, reliable, supportable solutions.

The Lead Engineer will apply deep infrastructure and platform engineering expertise, strong communication and analytical skills, and evidence-based decision making across the following capabilities:

• Technical Leadership and Engineering Standards
• Infrastructure Automation and Control Evidence
• Azure and Hybrid Infrastructure Engineering
• Platform, Datacentre and Disaster Recovery Engineering
• Service Reliability and Observability
• AI-Enabled Engineering and Operational Efficiency
• Security, Governance and Service Ownership

What will your role be responsible for?

• Provide technical leadership, design authority, and engineering guidance to engineers and contractors to ensure operational excellence across Digital Workplace & Platform services.
• Design, build, and own enterprise automation for server and platform provisioning, patching, configuration, lifecycle management, and recurring operational activities.
• Engineer automation with monitoring, exception handling, logging, and reporting so failures are detected proactively and control effectiveness can be demonstrated.
• Develop and maintain automated control-evidence capabilities, including backup compliance reporting, ticket automation, certificate lifecycle reporting, and configuration-data accuracy.
• Integrate infrastructure workflows with ServiceNow and related enterprise systems to reduce manual fulfilment, improve traceability, and maintain accurate configuration data.
• Lead the evaluation and engineering of virtualization, storage, datacentre, backup, disaster recovery, and cyber-recovery technologies; provide written recommendations covering architecture, cost, risk, supportability, and migration approach.
• Lead the engineering required for Azure and hybrid infrastructure adoption, including landing zones, networking, identity integration, policy, tagging, governance, cost controls, and Azure Arc-based hybrid management.
• Ensure cloud and hybrid foundational architecture, operational controls, and support models are established before production workloads are migrated or adopted.
• Define and implement observability and service-reliability practices for critical services, including synthetic monitoring for tier-one applications and measurable improvement in alert quality and actionability.
• Establish and maintain clear ownership for platforms, services, security groups, operational controls, documentation, and support models so accountability is readily identifiable and auditable.
• Design, build, and govern AI-enabled automations and agents that reduce engineering and operational effort while complying with the firm's AI usage governance and data-sensitivity requirements; measure and report realized benefits.
• Set and maintain engineering standards for design review, infrastructure-as-code, documentation, runbook quality, operational readiness, and production supportability, and reinforce those standards through technical review.