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Engineering Lead Risk and Controls Workstream

Job in Toronto, Ontario, C6A, Canada
Listing for: Undisclosed
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    DevOps, Software Architect
Job Description & How to Apply Below
Position: Engineering Lead for Risk and Controls Workstream

Location: Hybrid – Radbroke (2–3 days onsite per week)

Overview

We are seeking an experienced and hands‑on Engineering Lead to support a large‑scale Risk & Controls transformation programme
. This role will provide technical leadership, governance, and engineering oversight across multiple delivery teams working on risk, compliance, controls, integration, and application enhancement initiatives.

The successful candidate will play a key role in application modernization, regulatory‑driven technology changes, controls implementation, enterprise integrations, and technical delivery. This is a highly hands‑on leadership position requiring active involvement in architecture reviews, technical problem‑solving, and engineering governance.

Key Responsibilities
  • Provide engineering leadership and technical oversight across multiple delivery teams.
  • Support application enhancement, modernization, and transformation initiatives.
  • Define and enforce engineering standards, development processes, risk controls, and architecture best practices.
  • Ensure adherence to coding standards, security requirements, deployment practices, and governance controls.
  • Assess the impact of regulatory and compliance changes on applications, engineering processes, and operational controls.
  • Collaborate closely with risk, compliance, architecture, audit, and product stakeholders.
  • Act as a senior escalation point for complex engineering and production issues.
  • Guide the design and implementation of scalable integration solutions across APIs, middleware, event platforms, and external systems.
  • Conduct architecture reviews, technical assessments, code reviews, and compliance reviews.
  • Mentor engineering teams and contribute directly to troubleshooting, prototyping, and delivery activities.
  • Drive continuous improvement across engineering practices, controls frameworks, and tooling.
Required Skills & Experience Engineering Leadership
  • Proven experience leading engineering teams within large enterprise environments.
  • Strong governance, stakeholder management, and technical leadership capabilities.
  • Experience overseeing multiple concurrent technology initiatives and distributed teams.
  • Strong background in backend software engineering and enterprise integrations.
  • Expertise in APIs, microservices, middleware, and event‑driven architectures.
  • Experience building scalable, resilient, and secure applications.
  • Strong troubleshooting and problem‑solving skills across distributed systems.
Risk, Controls & Compliance
  • Strong understanding of risk, controls, compliance, and regulatory considerations within regulated environments.
  • Experience managing governance‑driven technology changes.
  • Familiarity with technology risk management, audit readiness, and operational control frameworks.
  • Experience with AWS and cloud‑native architectures.
  • Familiarity with CI/CD pipelines, infrastructure automation, monitoring, and deployment best practices.
  • Knowledge of Docker, Kubernetes, observability, logging, and reliability engineering.
Software Engineering
  • Strong proficiency in Python and/or modern backend programming languages.
  • Experience designing and delivering enterprise‑grade applications.
  • Understanding of testing strategies, secure coding practices, software quality, and release governance.
  • Hands‑on engineering approach with the ability to contribute directly when required.
Preferred Experience
  • Experience working on large‑scale transformation programmes.
  • Exposure to risk, compliance, or governance‑focused technology initiatives.
  • Familiarity with Agile delivery methodologies and enterprise engineering frameworks.
  • Experience supporting geographically distributed teams.
  • Knowledge of AI‑enabled engineering tools or automation frameworks would be advantageous.
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