Software Developer

Job Description

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
We are looking for a ML Ops Engineer who will take a key role on our team.  The ideal candidate must have knowledge in all stages of software development and seamlessly move between back-end development and front-end development.  You will be working alongside and collaborating with our team architects, developers and you will be responsible for creation and support for Fidelity Canada’s web properties.  

What We Are Looking For

• Collaborate with stakeholders, technology teams, and agile project managers to define Data Analytics requirements for each scrum and project, mapping out end-to-end solutions

• Design, develop, and optimize ETL/ELT data pipelines using Snowflake and Informatica Cloud to support ML model training and inference

• Implement data ingestion, transformation, and processing workflows for structured and unstructured data sources

• Automate Data validation, Monitoring, and Governance processes to ensure data quality and reliability

• Write scalable and maintainable Python scripts for Data Engineering and ML model deployment

• Productionize ML pipelines on AWS, leveraging services such as S3, Lambda, Step Functions, SageMaker, and ECS/EKS

• Optimize Data Storage, Retrieval, and Performance Tuning in Snowflake for ML workloads

• Collaborate with Data Scientists, MLOps, and DevOps teams to integrate ML models into production

• Support the monitoring of model performance and retrain models as needed to maintain accuracy and efficiency

• Implement CI/CD pipelines for ML workflows, ensuring seamless deployment and monitoring

• Collaborate with other Data analytics teams and partners to define best practices for Data, Visualization, and Machine Learning

• Present results to Business stakeholders and assist in implementing data-driven changes

What we are looking for

• 3+ years of experience in ML engineering, with a focus on Data Engineering and Data Pipeline Development

• Proficiency in Snowflake or Oracle, including performance tuning, query optimization, and data modeling

• Hands-on experience with Informatica Cloud (IICS) for data integration and ETL workflows

• Strong programming skills in Python, with experience in data processing libraries (Pandas, PySpark, etc.)

• Expertise in AWS services such as S3, Lambda, Glue, Step Functions, SageMaker, ECS/EKS, and CloudWatch

• Experience in orchestrating Data pipelines using Airflow, MLFLOW or AWS Step Functions

• Familiarity with ML model deployment, Monitoring, and lifecycle management in production environments

• Knowledge of CI/CD practices, including tools like Git, Docker, and Terraform

• Strong communication skills with the ability to prepare project documentation and presentations

• Strong problem-solving skills and ability to work in a collaborative, fast-paced environment

The Expertise You Bring

• Excellent written and verbal communications 

• Strong attention to detail with innovative problem-solving abilities 

• Ability to work independently and proactively while being in a team environment 

• Technical insight and experience to inform, guide, challenge and support technical decisions 

• Commitment to continuously evolve skills and keep up to date with latest technology 

Education

• Degree in Computer Science, Software Engineering, Economics, or Mathematic or equivalent working experience

• AWS Certification, Kubernetes would be an asset

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 

• 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.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at FidelityCanadaStaffing@fidelity.ca.

No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity?

We are proud to be recipients of the following:

Awards

•    Canada's Top 100 Employers 
o    Greater Toronto's Top Employers 
o    Canada's Top Family-Friendly Employers 
o    Canada's Top Employers for Young People 
  
•    Great Place To Work® Certified 
o    Best Workplaces for Inclusion 
o    Best Workplaces for Mental Wellness 
o    Best Workplaces for Today's Youth 
o    Best Workplaces for Women 
o    Best Workplaces in Financial Services & Insurance 
o    Best Workplaces in Ontario 
o    Best Workplaces with Most Trusted Executive Teams 

•    LinkedIn Top Companies in Canada
  
•    Human Resource Director (HRD) - Best Place To Work 
o    HRD - 5-Star Benefit Program 
o    HRD - 5-Star Diversity & Inclusion Employer 

Designations
•    Canadian Compassionate Companies – Certified 
•    Benefits Canada's Workplace Benefits Award - Future of Work Strategy 
•    TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting 
•    Canadian HR Reporter's Most Innovative HR Team