What you will do- Design, build, test, and deploy software components, APIs, integrations, and cloud-based solutions.
- Lead smaller technical workstreams or features from design through implementation.
- Collaborate with architects, managers, project managers, product owners, Toronto client teams, and the Montreal-based delivery team as part of a single national practice.
- Contribute to solution design, estimation, backlog refinement, sprint planning, and technical documentation.
- Participate in code reviews and help improve engineering standards, test coverage, security, and maintainability.
- Use AI-assisted delivery tools responsibly to accelerate development, testing, analysis, and documentation.
- Troubleshoot issues across application, data, infrastructure, and deployment layers.
- Participate in occasional travel to Montreal, approximately twice per year, to support collaboration, team-building, and planning activities.
- Mentor consultants and contribute to a collaborative, learning-oriented team environment.
What you bring to the role- 4+ years of experience designing and developing software solutions.
- Strong hands-on development experience with languages such as Typescript, JavaScript and Java, as well as frameworks including React, Node, Express and Next.js
- Foundational technology skills in HTML, CSS and SQL.
- Experience with APIs, databases, cloud services, integration patterns, and modern application architectures.
- Familiarity with cloud platforms, including application deployment, integration, data, DevOps, containers, functions-as-a-service and cloud-native services. Azure experience in particular would be an asset
- Experience with Git, CI/CD, automated testing, DevOps practices, and agile delivery.
- Ability to analyze technical problems, communicate options, and recommend practical solutions.
- Interest in Gen AI, AI-assisted engineering (Claude, Codex, Github Copilot), prompt patterns, and AI-accelerated SDLC practices.
- Strong written and verbal communication skills, including the ability to explain technical concepts to business audiences.
- Ability to travel for client and busines related requirements as needed.
- English fluency is required; French is an asset but not required.
- University degree (Bachelor's or Master's) in computer science, engineering, information systems, science, or a related field, or equivalent experience.
- AWS, Azure and Google Cloud certifications would be an asset.
KPMG Ontario Region Pay Range InformationThe expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
