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Lead Engineer, Equities, Public Markets Technology

Job in Toronto, Ontario, C6A, Canada
Listing for: CPP Investments | Investissements RPC
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Python, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 190000 CAD Yearly CAD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Lead Engineer, Active Equities, Public Markets Technology
Purpose.

Performance. People.
Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.

The Role
As Lead Software Engineer, Active Equities Technology, you will provide technical leadership in designing, developing, deploying, and supporting technology solutions that enable the Active Equities investment business. Reporting to the Director, Active Equities Technology, you will partner with investment professionals, data teams, and technology colleagues to deliver scalable applications, analytical platforms, and data-driven products. You will champion engineering excellence, modern software development practices, and AI-assisted development while helping shape the technical direction of the team’s cloud-native technology platforms.

The Team
Technology & Operations enables CPP Investments to deliver on its global investment mandate through secure, resilient, and innovative technology capabilities. The department partners across the organization to develop modern platforms, engineering capabilities, and data solutions that support investment decision-making and operational excellence.

The Active Equities Technology team partners closely with investment professionals to build technology solutions that support portfolio management, investment research, trading, and analytics. The team develops scalable software products, data platforms, and cloud-native applications while advancing engineering practices and leveraging emerging technologies to improve investment outcomes.

Accountabilities

Lead the end-to-end design, development, deployment, and support of scalable technology solutions that enable Active Equities investment capabilities in an Agile environment.

Provide technical leadership and architectural guidance to ensure solutions are secure, resilient, maintainable, and aligned with enterprise engineering standards.

Develop modern full-stack applications using Python, React or Plotly Dash, APIs, and cloud-native technologies to support portfolio management, research, and analytics.

Drive engineering excellence by promoting clean code, automated testing, CI/CD, Dev Ops practices, and continuous improvement across the software development lifecycle.

Design and implement scalable data pipelines and analytical workflows in partnership with data engineering and business intelligence teams.

Evaluate and apply emerging technologies, including Generative AI and AI-assisted development tools, to improve engineering productivity and software quality.

Mentor engineers, lead complex technical problem-solving, and build strong partnerships across business and technology teams to deliver high-quality technology solutions.

What You Bring

Undergraduate degree or college diploma in Computer Science, Engineering, or a related discipline.

Minimum of 8 years of progressive software engineering experience, including leading complex technical initiatives and enterprise application development.

Strong experience designing and developing enterprise applications using Python and modern front-end technologies such as React or Plotly Dash.

Experience building…
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