Lead Engineer, Active Equities, Public Markets Technology
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Minimum of 8 years of progressive software engineering experience, including leading complex technical initiatives and enterprise application development.
- Posting language
- English
- Posted
Original job description
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, DevOps 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.
- 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 scalable APIs, distributed systems, cloud-native applications, and modern software solutions on Amazon Web Services (AWS) or similar cloud platforms.
- Strong understanding of DevOps practices, including CI/CD pipelines, automated testing, infrastructure automation, production support, and Agile software development methodologies.
- Experience building data pipelines and working with modern data platforms; Databricks experience is considered an asset.
- Excellent communication, technical leadership, stakeholder management, and problem-solving skills, with the ability to collaborate effectively across technical and business teams.
We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.
Inclusion & Accessibility
CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Attention: Protect Yourself from Fraud
CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.
CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.
More about this job
Responsibilities
Lead the design, development, deployment, and support of secure, scalable technology solutions for Active Equities, including full-stack applications, APIs, data pipelines, and analytical workflows. Provide architectural leadership, promote engineering excellence and AI-assisted development, mentor engineers, and collaborate with investment, data, and technology teams.
Requirements
Requires an undergraduate degree or college diploma in Computer Science, Engineering, or a related discipline, and at least eight years of progressive software engineering experience. Candidates should have strong Python and modern front-end experience, cloud and distributed-systems expertise, DevOps and data-pipeline experience, and demonstrated technical leadership and communication skills.
Skills
- Python
- React
- Plotly Dash
- API Development
- AWS
- Cloud-Native Applications
- Distributed Systems
- Data Pipelines
- DevOps
- CI/CD
- Automated Testing
- Agile Development
- Generative AI
- Technical Leadership
- Stakeholder Management
- Databricks
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Finance & Accounting
Keywords
- Active Equities
- Public Markets
- Python
- React
- Plotly Dash
- AWS
- Cloud-Native Technology
- Enterprise Applications
- APIs
- Distributed Systems
- Data Pipelines
- Analytical Workflows
- Databricks
- Generative AI
- AI-Assisted Development
- DevOps
- CI/CD
- Automated Testing
- Infrastructure Automation
- Agile
- Portfolio Management
- Investment Research
- Trading
- Analytics
- Production Support
- Software Architecture
- Data Engineering
- Business Intelligence
- Technical Leadership