Software engineering manager Jobs in Old toronto, ON

Description

Agentic Software Developer

You will be working on a 100% remote schedule as part of Fidelity’s dynamic working arrangement.

Current work authorization for Canada is required for all openings.

At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

How You'll Make an Impact

The Software Developer, AI Engineering & SDLC Transformation reports to the Manager, Applied AI and is responsible for applying generative AI and agentic engineering to transform the end-to-end software development lifecycle for Fidelity Investments Canada.

This role goes well beyond AI-assisted coding. The individual will combine strong software engineering fundamentals with hands-on knowledge of modern AI and agentic technologies. They will work closely with business, product and engineering teams to understand how software is conceived and delivered today, identify friction and opportunities, and implement practical AI-enabled capabilities that improve developer experience, delivery speed, quality and control.

A key part of the role will be designing reusable agentic workflows, developer tools and engineering foundations that can reason over enterprise context, interact safely with approved tools and systems, and assist people throughout the SDLC.

What You Will Do

• Partner with business, product, architecture, and engineering teams to identify and implement AI opportunities across the software development lifecycle.
• Build AI-powered solutions that improve engineering productivity, software quality, and delivery outcomes.
• Design and develop reusable agentic workflows, developer tools, and engineering foundations.
• Implement capabilities for context retrieval, agent orchestration, tool integration, model evaluation, observability, guardrails, and secure execution.
• Leverage AI to enhance requirements gathering, solution design, architecture, software development, and traceability across the SDLC.
• Develop AI-assisted testing, quality assurance, defect analysis, and automated quality controls.
• Ensure AI-enabled development capabilities adhere to security, privacy, governance, and risk management standards.
• Evaluate and recommend AI models, agent frameworks, and developer tools for enterprise software engineering use cases.
• Collaborate with development teams to pilot, refine, and scale AI-enabled engineering practices.
• Measure and optimize outcomes using engineering, quality, adoption, and developer experience metrics.
• Contribute to architecture reviews, engineering standards, documentation, and knowledge sharing initiatives.

The Expertise You Bring

• Strong hands-on software engineering experience, particularly in Python
• Experience developing and supporting production APIs, services, and developer tools
• Knowledge of Java, JavaScript/TypeScript, or other enterprise programming languages is an asset
• Strong understanding of the full Software Development Life Cycle (SDLC)
• Experience with AWS, Snowflake, and Kubernetes
• Strong knowledge of Generative AI and Agentic AI engineering
• Experience with source control, APIs, microservices, containers, CI/CD, automated testing, Infrastructure as Code (IaC), and DevSecOps practices
• Understanding of security, privacy, and governance considerations related to AI agents and enterprise systems
• Strong communication, collaboration, and interpersonal skills
• Ability to quickly learn emerging AI models, agent frameworks, and development technologies
• Proven ability to apply new technologies and translate them into practical engineering solutions

What We’re Looking For

• Degree in Computer Science, Software Engineering, Economics or Mathematics or equivalent working experience
• 2+ years of experience in software development, preferably in the financial services/mutual fund/investment industry
• Candidates should have demonstrated hands-on experience delivering production software solutions, with practical experience in AI/ML, generative AI or agentic applications strongly preferred.
• Hands-on knowledge of open-source/open-weight code models, including model evaluation, serving or self-hosting considerations, and experience integrating AI coding or agentic development tools into engineering workflows is considered a nice to have
• AWS certification or equivalent hands-on cloud experience is considered an asset.
• Experience working within Agile or Scrum environments and with modern DevSecOps practices is an asset. is an asset.

Total Rewards That Reflect Your Impact

We believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today—and your financial well-being tomorrow.

For this role, your total rewards include:

• Base Salary and Discretionary Performance Bonus: Total annual cash compensation (base salary plus target bonus) ranges from $101,000 to $118,000, based on your experience and qualifications.
• RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required.

We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.

This posting represents an existing vacancy within our organization—an opportunity to step into a role where your talents will make a meaningful difference.

Some of the ways we will help you feel valued and supported as part of our team:

• Flexible working arrangements.
• Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you.
• Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, which include up to $5000 annually for mental health services and therapy.
• Parental leave top-up to 100% of your salary for a period of 25 weeks.
• Up to $650 for home office equipment.
• Generous time off policy, including two paid days annually to volunteer at a charity of your choice.
• Diversity and inclusion programs, including an active network of Employee Resource Groups.
• Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation.
• We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.

We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant, please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview, the recruiter who contacts you can best answer your questions.