Overview At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world. The Cloud Centre of Excellence is accountable for the delivery of modern cloud services, applications, and managed services, supporting our internal workforce as well as client delivery teams, with focus on AI and technology innovation.   Your role will include backend development, experimenting and evaluating emerging technologies, prototyping, and developing production grade cloud-native applications for our users. You will be dividing your time between development tasks, orchestration and integration of work within the team, and all aspects of testing.   This position can be performed remotely. What you will do - Collaborate with a highly skilled and talented group of developers. - Co-design the backend Services and Data layers for our applications. - Develop backend heuristics, including APIs and repositories. - Collaboration with the UI/UX team for smooth integration. - Co-Innovate, experiment and conduct proof of concepts (POC) leveraging cutting edge cloud and AI technologies - Remain vigilant about our company’s commitment to operational excellence, enterprise readiness, security and compliance What you bring to the role - A university degree (or similar) in computer science or other related discipline - At least 3 years of experience with hands-on full-stack development and management - Key contribution to application development projects, as a backend/full-stack expert - Strong collaboration, reporting and organizational skills - Expertise with JS, TS, and Node.js - Expertise in API development, for both backend and frontend APIs - Expertise with application data modeling, repositories, and cloud storage services - Experience with performance (load), component, and unit testing - Experience with container-based and serverless cloud-native architectures (e.g., Kubernetes) - Experience in building SPA with React.js - Experience in Git branching and source code management KPMG Ontario Region Pay Range Information The expected base salary range for this position is $105,000 to $156,600 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 We embrace 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.