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Software Delivery Developer - Gen AI and AI-AcceleratedKPMG • Toronto, Ontario, Canada
Software Delivery Developer - Gen AI and AI-Accelerated

Software Delivery Developer - Gen AI and AI-Accelerated

KPMG • Toronto, Ontario, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste
Overview
At KPMG in Canada, our people bring their unique perspectives to Canada's most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Cloud & Software Engineering team is looking for a professional like you with the skills and drive to make a real difference.

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 tec hnical 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 .
  • U niversity 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 Information
The 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.

Providing you with the support you need to be at your best
Our Values, The KPMG Way
Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling 1-888-466-4778.

AI Usage
Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework.

We believe technology should empower human judgment, not replace it. It's one of the many ways we're delivering on our vision of being a technology-first, people-driven firm.
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Software Delivery Developer - Gen AI and AI-Accelerated • Toronto, Ontario, Canada

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