Software Engineer, Asset Management Digital Solutions (AMDS)
- ON, Canada
- UNAVAILABLE, Toronto, ON, M5H 2S5, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3+ years of professional software-development experience.
- Posting language
- English
- Posted
Original job description
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.
KPMG Asset Management Digital Solutions (KPMG AMDS) sparks innovation and fuels change to unlock value and prepare for the future. KPMG AMDS helps organizations discover opportunities through our far-reaching innovation and intelligence capabilities. The team is committed to learning and development and solving tax technology problems for the firm.
We are seeking a hands-on Software Engineer with 3+ years of professional software-development experience to develop, test, and support enterprise applications using the Microsoft technology stack.
The engineer will work with local stakeholders and an offshore development team to implement features, resolve technical issues, and deliver reliable, maintainable software.
What you will do
- Develop and maintain applications using C#, .NET, ASP.NET Core Web API, Vue.js, SQL Server, and Microsoft Azure.
- Translate business and technical requirements into working software.
- Build and integrate REST APIs, user interfaces, databases, and Azure services.
- Write clean, maintainable, secure, and testable code.
- Develop automated unit and integration tests.
- Participate in code reviews, technical discussions, and Agile delivery activities.
- Troubleshoot application, database, integration, and production issues.
- Support CI/CD pipelines and application deployments.
- Collaborate with local and offshore team members on development, testing, and delivery.
- Maintain technical documentation and communicate progress, issues, risks, and dependencies clearly.
AI-enabled software development
- Use approved AI-assisted development tools, such as GitHub Copilot or equivalent tools, to support coding, refactoring, test creation, debugging, documentation, and technical research.
- Understand, review, test, and validate AI-generated output before incorporating it into an application.
- Maintain personal accountability for the quality, security, and maintainability of code produced with AI assistance.
- Follow organizational and client requirements relating to confidentiality, data handling, security, and acceptable AI usage.
- Continue developing practical skills in AI-assisted engineering and contribute useful practices to the team.
What you bring to the role
- Bachelor's degree in computer science or software engineering.
- Certifications: Azure AZ-204 or similar.
- 3+ years of professional software-development experience.
- Hands-on experience with C#, .NET, and ASP.NET Core Web API.
- Full-stack development experience with Vue.js or a comparable JavaScript framework.
- Experience with JavaScript or TypeScript, Entity Framework Core, AutoMapper, SQL Server, and LINQ.
- Understanding of object-oriented programming, SOLID principles, and common software design patterns.
- Experience developing or supporting applications on Microsoft Azure.
- Familiarity with Azure services related to application hosting, storage, databases, and monitoring.
- Experience designing and consuming REST APIs.
- Experience writing unit tests and debugging software issues.
- Familiarity with Azure DevOps, CI/CD pipelines, Git, pull requests, and code reviews.
- Experience using AI-assisted development tools, or demonstrated ability and willingness to adopt them as part of the development workflow.
- Experience working in Agile or Scrum environments.
- Strong analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to collaborate effectively with geographically distributed and offshore teams.
KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $77,500 to $127,500 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
For more information about KPMG in Canada’s Benefits and well-being, click here.
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.
More about this job
Responsibilities
The software engineer will develop, test, and maintain enterprise applications using the Microsoft technology stack while collaborating with local and offshore teams. They are responsible for translating business requirements into reliable software, managing CI/CD pipelines, and troubleshooting technical issues.
Requirements
Candidates must hold a bachelor's degree in computer science or software engineering and possess at least 3 years of professional development experience. Proficiency in C#, .NET, and Azure services is required, along with strong analytical and communication skills.
Skills
- C#
- .NET
- ASP.NET Core Web API
- Vue.js
- SQL Server
- Microsoft Azure
- REST APIs
- Entity Framework Core
- JavaScript
- TypeScript
- Azure DevOps
- CI/CD
- Git
- Unit testing
- Agile
- Scrum
Benefits
- Total Rewards program
- Learning and development opportunities
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Consulting
Keywords
- Software Engineer
- C#
- .NET
- ASP.NET Core
- Vue.js
- SQL Server
- Microsoft Azure
- REST APIs
- Entity Framework Core
- AutoMapper
- LINQ
- Azure DevOps
- CI/CD
- Git
- GitHub Copilot
- AI-assisted development
- Agile
- Scrum
- Unit testing
- Integration testing
- Object-oriented programming
- SOLID principles
- Design patterns
- Asset Management
- Digital Solutions
- Cloud computing
- Full-stack development
- Technical documentation
- Azure AZ-204