Job Tittle : Manager, Software Engineering - C++
Location: Toronto, ON (Hybrid)
Employment Type: Full-Time (FTE)
Department: Brokerage Technology
What You’ll Do
People & Culture Leadership
- Lead and manage engineers across one or more squads, ensuring alignment with long-term business and technology goals
- Develop high-performing teams by mentoring leaders, identifying high-potential talent, and enabling clear career growth paths
- Champion an inclusive, collaborative, and high-trust engineering culture
- Inspire teams with a clear technical vision through impactful communication and presentations
- Provide steady leadership during ambiguity, change, or complex transitions
Technical Strategy & Architecture
- Own and evolve a complex technology portfolio aligned with business mission
- Define high-level system architecture and approve design patterns for scalable, enterprise-grade platforms
- Lead major technical initiatives, including vendor selection and strategic investments
- Partner with senior technical leaders on architectural decisions and critical problem-solving
Delivery & Operational Excellence
- Serve as the engineering leader within the Product–Design–Engineering trio , ensuring technical feasibility and innovation
- Communicate the business value of technology initiatives to both technical and non-technical stakeholders
- Lead initiatives from early prototyping to full production deployment and ongoing optimization
- Ensure applications are highly available, performant, and scalable under heavy load
What You Bring
Experience & Education
- 5+ years of backend development experience
- 3+ years of people management experience
- Degree, diploma, or equivalent experience in Computer Science or Engineering
- Experience in digital financial services (strongly preferred)
- Background in enterprise-scale systems
Technical Expertise
- Deep expertise in C++ with a focus on low-latency, high-performance systems
- Experience with cloud-native microservices , particularly on Google Cloud Platform (GCP) and GKE
- Strong understanding of data storage technologies (Cloud SQL, MongoDB, Redis, SQL Server)
- Experience with event-driven architectures (Kafka, Google Pub/Sub)
- Proficiency in CI/CD pipelines and tools such as GitLab, Jira, and Confluence
- Strong skills in performance tuning and system optimization
