Lead Engineer, Active Equities, Public Markets Technology

CPP Investments | Investissements RPC•Toronto, ON

5d•Onsite

About The Position

As a Lead Software Engineer, you will lead the design, development, deployment, and support of technology solutions that enable investment capabilities for the Active Equities business. You will provide technical leadership across the full software development lifecycle, driving engineering excellence, modern software development practices, and cloud-native solutions. You will partner closely with investment professionals, data teams, and technology colleagues to build scalable applications, analytical platforms, and data-driven products while fostering innovation through modern engineering and AI-assisted development practices.

Requirements

Undergraduate degree or college diploma in Computer Science, Engineering, or a related discipline.
8+ years of progressive software engineering experience, including leading complex technical initiatives.
Extensive experience designing and developing enterprise applications using Python and modern web technologies such as React or Plotly Dash.
Experience designing scalable APIs, distributed systems, and cloud-native applications, preferably on Amazon Web Services (AWS).
Strong experience with modern DevOps practices, including CI/CD pipelines, automated testing, infrastructure automation, and production support.
Experience building data pipelines and working with modern data platforms; Databricks experience is considered an asset.
Experience working across the full software development lifecycle using Agile methodologies.
Strong communication, problem-solving, and stakeholder management skills, with the ability to communicate technical concepts to both technical and non-technical audiences.
You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.

Nice To Haves

Databricks experience is considered an asset.

Responsibilities

Conceptualize, design, build, test, deploy, and support scalable end-to-end technology solutions that enable complex investment capabilities in an Agile environment.
Lead technical design and architectural decisions, ensuring solutions are scalable, resilient, secure, maintainable, and aligned with enterprise standards.
Develop modern full-stack applications using Python-based backend services, React or Plotly Dash front-end technologies, APIs, and data platforms to support portfolio management, research, and analytics.
Drive engineering excellence by promoting clean code, automated testing, continuous integration and continuous delivery (CI/CD), cloud-native development, and modern DevOps practices.
Design and implement reliable data pipelines and analytical workflows while collaborating with data engineering and business intelligence teams to deliver high-quality data products.
Apply emerging technologies, including Generative AI and AI-assisted development tools, to improve software design, development, testing, and engineering productivity.
Facilitate root cause analysis across multiple teams and implement sustainable improvements that enhance platform reliability, performance, and operational resilience.
Provide technical leadership, coaching, and mentorship while fostering a culture of collaboration, continuous learning, innovation, and engineering excellence.
Build strong relationships with business partners, peer technology teams, and vendors to deliver technology solutions aligned with business objectives.