Job DescriptionYou will be working on a flexible hybrid schedule as part of Fidelity's dynamic working arrangement.The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.Current work authorization for Canada is required for all openings.How You'll Make an Impact:We are seeking a Senior Technical Analyst / Developer to design, develop, deploy and support machine learning, data and AI solutions. This senior hands-on role combines technical analysis, software development, data engineering, cloud deployment and production support.
The successful candidate will work closely with Product Owners, Data Scientists, business teams, Architecture, Security, Cloud and Data teams to deliver reliable, secure and supportable solutions across AWS, Snowflake and Informatica Cloud. The role also provides technical guidance, code reviews and mentoring to team members.
Technical Delivery
- Translate business and technical requirements into practical solution designs and implementation plans.
- Provide day-to-day technical guidance and support delivery planning, prioritization and dependency management.
- Review technical solutions for alignment with engineering, architecture, security and data standards.
- Communicate delivery progress, risks, dependencies and production issues to stakeholders.
- Support code reviews, knowledge sharing, mentoring and continuous improvement.
Machine Learning, Data and AI Engineering
- Develop, deploy and support production machine learning models, analytical solutions and data pipelines.
- Build Python and SQL-based automation, integrations and data-processing components.
- Support data ingestion, transformation and processing across AWS, Snowflake and Informatica Cloud.
- Implement model versioning, testing, deployment, monitoring and documentation practices.
- Promote data quality, lineage, source-to-target mapping and clear production ownership.
- Support approved Generative and Agentic AI solutions, including retrieval workflows, enterprise data connections, tool integrations and monitoring.
AWS DevOps and Production Operations
- Deploy and operate machine learning, data and AI workloads on AWS.
- Develop and maintain CI/CD pipelines, containerized solutions and infrastructure automation.
- Work with AWS services such as SageMaker, Bedrock, S3, Lambda, ECS, EKS and CloudWatch.
- Implement logging, monitoring, alerting, cost controls and operational runbooks.
- Coordinate production releases, deployment validation, incident investigation and operational handover.
- Troubleshoot application, data, infrastructure and model-processing issues and perform root-cause analysis.
- Collaborate with Architecture, Security, Cloud and Data teams to deliver reliable production solutions.
What We're Looking For- Degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent experience.
- 5-8 years of experience in software development, data engineering, cloud engineering, technical analysis or a related role.
- Strong hands-on experience with Python and SQL.
- Experience developing and supporting data pipelines, automation and system integrations.
- Experience with Git, CI/CD, automated testing, logging and production support.
The below are considered Nice to Have:
- Experience with AWS SageMaker, Amazon Bedrock, S3, Lambda, ECS, EKS or CloudWatch.
- Experience with Snowflake and Informatica Cloud.
- Experience with Docker, infrastructure as code and workflow orchestration.
- Experience operationalizing machine learning models and implementing MLOps practices.
- Experience with Generative AI, retrieval-augmented generation, vector search or agent-based solutions.
- Experience with REST APIs, enterprise integrations and cloud-security practices.
- Experience with data quality, lineage, metadata and source-to-target mapping.
- AWS, Snowflake, Informatica, DevOps or data-engineering certifications are considered assets.
The Skill Set You Bring- Strong analytical, troubleshooting and problem-solving skills.
- Ability to translate requirements into technical specifications and working solutions.
- Strong communication and stakeholder-management skills.
- Ability to work independently while contributing to team delivery and technical standards.
- Experience deploying or supporting workloads on AWS.
Total Rewards That Reflect Your ImpactWe 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: A competitive annual range of $123,000 to $158,000, 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.
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.
Some of the ways we'll help you feel valued and supported as part of our team:- Flexible working arrangements - 100% remote, hybrid, and in office options
- 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, that 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 2 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
