Software Engineer to design, build, and maintain applications to support our financial services

Job Title : Software Engineer

Job Location : Downtown, Toronto (3 days/week onsite)

Duration : Until Dec' with a possibility of an extension

What You'll Do

• Design, build, test, deploy, and maintain scalable, secure, and maintainable software applications
• Work hands-on across the stack, including front-end, back-end, APIs, databases, integrations, and cloud-native components
• Build new code and enhance existing applications to support Private Markets workflows and business priorities
• Develop applications and services using technologies such as Node.js, JavaScript / TypeScript, Python, SQL, and modern web application frameworks
• Design and implement APIs, integrations, data flows, and service-based application components
• Work with relational databases and write efficient SQL to support application, reporting, integration, and analytics use cases
• Collaborate with business stakeholders and product owners to understand requirements, clarify problems, and translate business needs into technical solutions
• Make practical architecture and design decisions that balance delivery speed, scalability, maintainability, security, and long-term system health
• Contribute to solution design, technical planning, estimation, implementation, testing, deployment, and production support
• Support modern software delivery practices, including CI/CD pipelines, automated testing, code quality, version control, release management, and agile delivery
• Build and support cloud-native applications and deployment patterns, including containerized environments such as Docker and Kubernetes
• Monitor application performance and reliability, troubleshoot issues across the stack, and implement improvements to enhance stability and scalability
• Support application observability and production readiness through logging, monitoring, alerting, troubleshooting, and operational support practices
• Contribute to AI-enabled application development, including integrations with AI services, agentic workflows, vector databases, and modern AI engineering tools where applicable
• Participate in design reviews, code reviews, technical discussions, and knowledge sharing across engineering teams
• Work closely with business, technology, data, and platform teams to deliver solutions that are practical, maintainable, and aligned with enterprise standards
• Stay current with relevant engineering practices, frameworks, cloud platforms, vendor products, and technology trends
• Mentor and support other team members through technical guidance, code reviews, and sharing of engineering best practices.

What You'll Need

• Computer Science or Engineering degree, or equivalent education and experience
• 8 to 12+ years of progressive software engineering experience designing and developing enterprise applications
• Strong generalist engineering capability with hands-on experience across front-end, back-end, APIs, data, and integration layers
• Strong programming experience with Node.js, JavaScript / TypeScript, Python, and modern web application frameworks
• Experience with Java, C#, or other enterprise programming languages is an asset
• Strong SQL skills and experience working with relational databases in complex, multi-source environments
• Snowflake experience is an asset, but not required
• Experience designing, building, and maintaining scalable, secure, and maintainable enterprise applications
• Strong API design and integration experience, including RESTful services, service-oriented architecture, and event-driven patterns where applicable
• Experience with software analysis, design, development, testing, deployment, and production support
• Experience with CI/CD pipelines, automated testing, code quality practices, Git workflow, continuous integration, and release management
• Familiarity with cloud-native application development and deployment practices, ideally in Azure
• Familiarity with containerized application deployments, including Docker and Kubernetes
• Familiarity with application monitoring, logging, alerting, observability, troubleshooting, and production support
• Ability to troubleshoot application, infrastructure, integration, data, and performance issues across the stack
• Strong understanding of secure development practices, enterprise technology standards, and software delivery governance
• Experience working directly with business stakeholders to understand requirements, communicate trade-offs, and deliver practical technical solutions
• Ability to operate with minimal supervision, take ownership, escalate issues appropriately, and execute autonomously
• Strong communication and collaboration skills across business, technology, data, and platform teams
• Proven track record of delivering high-quality software while balancing competing priorities, timelines, and stakeholder needs
• Familiarity with AI-enabled applications, AI engineering tools, vector databases, agentic workflows, or the broader AI development ecosystem is an asset
• Previous experience in investments, private markets, capital markets, or financial services is an asset.