toronto on cloud finops Jobs – 41 Openings This Week

Senior Data Engineer
Questrade Financial Group —Toronto, ON
- $95,000–$143,000 a year
- Full-time
- Computer Science
- DevOps
- Master's degree
Quick apply
Operational Intelligence Specialist
Intact —Toronto, ON
- Full-time
- Hybrid work
- Bilingual
- No experience needed
- English
- Employee stock purchase plan
Technical Program Manager
Guidewire Software —Toronto, ON
- $98,000–$123,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Dental care
- Paid time off
Senior Analyst, Operations
Definity Financial Corporation —Toronto, ON
- $59,300–$109,200 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- AWS
- Tuition reimbursement
- Paid time off
10d
Senior Manager, Software Engineering (Infrastructure)
Loopio Inc. —Toronto, ON
- $143,500–$193,800 a year
- Full-time
- Remote
- AWS
- Machine learning
- Budgeting
Senior System Administrator
Zonda Home —Toronto, ON
- $130,000–$155,000 a year
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
- Wellness program
- Designated paid holidays
Quick apply
Senior Software Engineer, Platform
PocketHealth —Greater Toronto Area, ON
- $150,000–$200,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Paid time off
Data Platform & Analytics Engineer
Rumble —Toronto, ON
- $100,000–$120,000 a year
- Schematics
- SQL
- APIs
Quick apply
7d
Senior Project Manager
Interac Corp. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- PMP
- DevOps
7d
Software Development Manager, Platform Engineering
Autodesk —Toronto, ON
- Full-time
- DevOps
- Java
- AWS
Senior Principal Data Architect - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
- $136,000–$170,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Principal AI Engineer - AI Engineering & Enablement
Questrade Financial Group —Toronto, ON
- $115,000–$170,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Senior AI Engineer - AI Engineering & Enablement
Questrade Financial Group —Toronto, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Platform Engineering Manager
WCG International Consultants Ltd. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Dental care
Quick apply
Director, Data Platform - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
Quick apply

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Senior Data Engineer
Questrade Financial Group —Toronto, ON
Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Consultative Leadership: Partner with Product Owners…
$95,000–$143,000 a year
Quick apply
Senior Principal Data Architect - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
Engineering Mentorship: Lead the cultural shift toward AI-augmented data engineering, setting the standard for how our team and our clients use GenAI to develop…
$136,000–$170,000 a year
Quick apply

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Senior Data Engineer

Questrade Financial Group -
Toronto, ON

Quick apply

Job details

Full-time
$95,000–$143,000 a year

Qualifications

CI/CD
Power BI
Statistics
Computer Science
DevOps
Supply chain
Spark
Mathematics
Google Cloud Platform
Master's degree
SQL
AWS
Bachelor's
Terraform
Financial services
Metadata
Communication skills
Python

Full job description

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure.
At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.
Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

What’s in it for you as an employee of Flexiti?

Health & wellbeing resources and programs
Paid vacation, personal, and sick days for work-life balance
Competitive compensation and benefits packages
Work-life balance in a hybrid environment with at least 3 days in office
Career growth and development opportunities
Opportunities to contribute to community causes
Work with diverse team members in an inclusive and collaborative environment

We’re looking for our next Senior Data Engineer. Could it be you?
The Senior Data Engineer is a key technical contributor responsible for building and scaling the Flexiti Self-Serve Data Platform. This role focuses on the hands-on execution of our Data Fabric and Data Mesh architectures, ensuring that data is accessible, secure, and ready for advanced Agentic AI applications. You will bridge the gap between raw data and business value by developing high-performance Data Products that accelerate business decisions and generate revenue.
As a Senior Data Engineer, you will design and implement the technical capabilities that power our decentralized engineering model. You will lead the transition from manual coding to AI-augmented workflows, leveraging Generative AI for code generation and testing. Operating in a "Forward-deployed Engineer" capacity, you will often embed within business units to solve complex data challenges directly at the source.

Need more details? Keep reading…

Data Platform Engineering & Data Mesh

Pipeline Development: Build and maintain scalable data pipelines using Spark and Databricks to unify structured and unstructured data across AWS/GCP and other cloud-native data platforms.
Self-Service Tooling: Develop the "Data Producer" and "Data Exchange" interfaces that allow business units to share and consume data autonomously.
Infrastructure as Code (IaC): Implement platform guardrails and deployment patterns using Policy as Code and IaC Factory patterns.
FinOps Optimization: Write highly efficient code and monitor compute patterns to maximize ROI and minimize cloud consumption costs.

AI & Analytics Enablement

Agentic AI Support: Build the underlying data infrastructure required to operationalize autonomous data agents and next-generation analytics.
AI-Augmented Engineering: Lead by example in adopting prompt engineering and GenAI tools to automate documentation, testing, and code refactoring.
Data Quality: Implement AI/ML-based monitoring tools for proactive anomaly detection and self-correcting data quality workflows.

Governance, Security & Collaboration

Built-in Security: Ensure every pipeline meets rigorous financial regulatory standards by integrating security and compliance features directly into the build process.
Metadata Management: Contribute to the design and maintain the Enterprise Data Catalog & Data Exchange to ensure data is discoverable and well-documented across all business lines.
Consultative Leadership: Partner with Product Owners and business stakeholders to translate complex engineering requirements into actionable business outcomes.

So are YOU our next Senior Data Engineer? You are, if you…

Technical Expertise

Cloud Platforms: Extensive experience scaling data solutions on Hyperscalers, with a strong preference for GCP.
Data Architecture: Deep proficiency in GCP BigQuery, GCP Vertex AI, Spark, Databricks, and Data Mesh architectures.
Languages: Expert-level Python, PySpark, and SQL.
DevOps/DataOps: Strong knowledge of CI/CD, software supply chains, and MLOps principles.
Visualization: Familiarity with tools such as PowerBI, Sigma, or Looker to support data consumer needs.
Infrastructure as Code: Experience with Terraform or CloudFormation.

Soft Skills

Strong problem-solving abilities and attention to detail.
Excellent communication skills to translate technical concepts for non-technical audiences.
Ability to work independently and as part of a distributed team.
Strong documentation skills for architectural designs and technical workflows.
Self Motivated and driven

Experience & Education

Industry: Proven background in Financial Services or other highly regulated industries.
Transformational Projects: Experience participating in large-scale migrations from legacy systems to modern Cloud environments.
Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.

Compensation Information: #

Base salary range: $95,000 - $143,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Sounds like you? Click below to apply! #LI-CE1 #LI-Remote

At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.

Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

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cloud finops jobs in toronto on

Senior Data Engineer

Operational Intelligence Specialist

Technical Program Manager

Senior Analyst, Operations

Senior Manager, Software Engineering (Infrastructure)

Senior System Administrator

Senior Software Engineer, Platform

Data Platform & Analytics Engineer

Senior Project Manager

Software Development Manager, Platform Engineering

Senior Principal Data Architect - Data Warehousing & Engineering

Principal AI Engineer - AI Engineering & Enablement

Senior AI Engineer - AI Engineering & Enablement

Platform Engineering Manager

Director, Data Platform - Data Warehousing & Engineering

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