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On-site · Vancouver
Design and build scalable, cloud-native ETL/ELT pipelines to ingest and transform data from diverse enterprise sources into Snowflake. Manage and optimize Snowflake environments while developing custom Python frameworks and automated data quality processes.
On-site · Toronto
You will lead the development lifecycle of AI-driven tools, collaborating with cross-functional teams to translate business needs into functional prototypes. Additionally, you will build secure, scalable back-end systems and responsive front-end interfaces while ensuring code quality through rigorous testing and deployment.
On-site · Toronto
The Lead Full Stack Developer provides technical guidance and coordinates daily activities for a software engineering team while designing and maintaining multi-platform application systems. They are responsible for the full development lifecycle, including coding, automated testing, performance tuning, and collaborating with business partners to implement complex technical solutions.
On-site · Montréal
The software developer will contribute to technical delivery, including code development, management, and process workflows for US-Wealth Management Online. Responsibilities include developing, documenting, and executing complex tests while collaborating with global teams.
On-site · Montréal
You will contribute to the technical delivery of the team by developing, coding, and documenting software solutions. Additionally, you will execute various testing phases and help shape new code management and process workflows.
On-site · Toronto
Develop, maintain, and improve transaction monitoring solutions using data science techniques to identify suspicious activity and manage risk. Collaborate with stakeholders to prioritize development and provide recommendations based on model performance findings.
On-site · Toronto
Lead the research, development, and deployment of innovative AI and machine learning solutions for Wealth Management Canada. Collaborate with cross-functional teams including ML engineers and business stakeholders to translate business needs into scalable technical AI products.
On-site · Toronto
Lead the design and hands-on development of high-performing trading solutions while managing an agile squad to deliver product backlogs. Collaborate with cross-functional teams to ensure technical roadmaps, solution architectures, and high-quality code implementations are met.
On-site · Montréal
You will lead the design and implementation of advanced evaluation frameworks for AI models and agents to ensure quality, safety, and performance. This role involves collaborating with cross-functional teams to embed these evaluation standards into the end-to-end AI lifecycle.
On-site · Toronto
The Lead Full Stack Developer will design, develop, and maintain legacy and cloud-first applications while providing technical guidance to team members. They are responsible for implementing CI/CD pipelines, managing large data sets, and collaborating with business partners to deliver scalable engineering solutions.
On-site · Toronto
The analyst will manage global firewall requests and maintain site-to-site VPN/firewall platforms while responding to network security incidents. They will also collaborate with DevOps teams to automate processes and perform root cause analysis for major network outages.
Hybrid · Toronto
You will lead a team of data engineers and scientists to transform software development telemetry into actionable insights for executive leadership. This includes managing AI spend forecasting, developer productivity measurement, and building robust data pipelines to support organizational decision-making.
On-site · Toronto
The Lead Software Developer will design and develop cross-functional, multi-platform trading applications and APIs to meet business needs. They will also lead technical design efforts, mentor team members, and ensure project delivery within budget and timelines.
Hybrid · Toronto
Design and build agentic AI workflows and tooling to support Red Team operations and automation pipelines. Collaborate with security researchers to instrument AI systems for reliability and translate offensive findings into defensive improvements.
On-site · Toronto
You will own the health and stability of lower environments while partnering with developers to resolve integration issues. Additionally, you will maintain CI/CD pipelines and support cloud infrastructure to ensure secure and efficient application delivery.
On-site · Toronto
You will architect and lead the development of scalable, enterprise-grade applications while driving observability standards and AI-driven automation. Additionally, you will own product strategy, mentor junior developers, and collaborate cross-functionally to deliver technical solutions.
On-site · Toronto
The Lead Data Engineer will design and build a secure, scalable cloud-native data platform on AWS using medallion architecture. They will also provide technical leadership, mentor team members, and ensure the reliability and security of data pipelines.
On-site · Mississauga
The Senior Manager will oversee DevOps and Quality Engineering automation teams while implementing AI-driven SDLC practices to enhance process efficiency. They are responsible for managing resources, vendor coordination, and ensuring team alignment with organizational quality standards.
Hybrid · Toronto
Architect and maintain scalable data pipelines and analytical environments to support BI, analytics, and AI/ML workloads. Ensure data integrity through robust quality frameworks, metadata management, and automated testing across development and production environments.
On-site · Montréal
Design, develop, and maintain automated testing frameworks and risk-aware test strategies for banking applications, including functional and regression testing, test data preparation, and quality monitoring. Integrate automation into CI/CD pipelines, apply AI and machine learning capabilities to improve testing efficiency, and collaborate with business and development teams to identify and resolve issues early.