Job DescriptionLocation: Toronto/WinnipegRefferal Level: Level 1Overall Job PurposeThe Software Engineering Specialist supports the secure delivery of technology and AI-enabled solutions within a persistent Agile team within the Investment Excellence Portfolio and as part of the Investment Management/Fund Services Pod. The role independently designs, builds, tests, and supports software components across the delivery lifecycle, translating approved requirements into reliable, maintainable solutions in alignment with Technology policies, standards, and governance requirements.
Key Accountabilities- Designs, builds, tests, and integrates software components across the development lifecycle to deliver reliable solutions
- Refines technical stories with Analysts, Architects, and Pod/Delivery partners to ensure work is clear, testable, and ready for execution
- Applies secure coding, peer review, and automated testing practices to improve code quality, performance, and maintainability
- Contributes to CI/CD pipelines and DevSecOps ways of working by implementing build, test, and release automation within team standards
- Supports release readiness and executes code deployment activities, ensuring changes meet acceptance criteria and operational requirements
- Participates in after-hours support of applications developed by the team
- Investigates and resolves defects and component-level incidents; documents fixes and lessons learned to prevent incidents recurrence
- Maintains technical documentation and knowledge assets (e.g., code documentation, runbooks) to support operability
- Uses approved AI tools to assist with coding/refactoring and code-quality checks while retaining accountability for correctness and security
- Participates in the Software & Quality Engineering Chapter/community to learn standards, tools, and practices and continuously develop capability
Qualifications- Post-secondary education in Computer Science, Engineering, or related field (or equivalent practical experience)
- Work experience (minimum of 2 years) delivering software solutions using modern engineering practices in Agile environments (e.g. Agile methodologies: Kanban, Scrum, and tools such as JIRA, Confluence and GitHub)
- Experience working in different programming languages (Python, Flask, SQL) and platforms/ technologies (Linux & Windows, GitHub, Artifactory, etc)
- Working knowledge of version control, testing, and CI/CD practices; ability to troubleshoot defects and incidents
- Experience within a 24x7 production environment, preferably across multiple data centers and 3rd party cloud environments (AWS, Azure, Google)
- Ability to collaborate across roles (Analyst, Architecture, Platform/Infrastructure) and incorporate feedback through reviews
- Proficient problem-solving, organizational, and analytical skills
- Comfort using approved AI-enabled development tools as part of day-to-day workflow (within established guardrails)
The expected annual base salary range for this role is $75,000 - $95,000 which is determined based on skills, knowledge and experience and geographic location. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being benefits, retirement and savings plan, paid time off and career development.
Benefits: - COMPETITIVE COMPENSATION & RECOGNITION:; competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component.
- EMPLOYEE BENEFITS: competitive health and dental coverage; employer sponsored coverage for you and your family.
- RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component.
- INSURANCE: employer sponsored short-term and long-term disability.
- WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements.
- INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).
How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to
https://www.mackenzieinvestments.com/en/careers.
Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people.
Please apply by November 23 2026.
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