Closed listing
Senior Full Stack Software Engineer
- Toronto, ON, Canada
$160,000 to $220,000 USD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $160,000 to $220,000 USD / year
- Job type
- Full-time
- Closing date
- Experience
- 12+ years of full-stack software engineering experience
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Join a growing AI innovation team in Toronto, ON building next-generation intelligent applications for a global organization in the financial information and analytics space. This full-time opportunity is ideal for a Senior Software Engineer who enjoys working across Java, Spring Boot, Python, React, cloud technologies, and AI-powered platforms to create scalable solutions with real-world impact.
This is a chance to help shape the future of AI-driven products from the ground up. The team is looking for a seasoned full-stack engineer who can lead technical initiatives, influence architecture, and collaborate closely with AI/ML experts to bring innovative ideas into production. If you're passionate about modern engineering practices, mentoring others, and building cutting-edge applications in a highly collaborative environment, you'll find tremendous opportunities for growth, ownership, and long-term career development here.
Required Skills & Experience
Tech Breakdown
Use of AI in Hiring: No
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future
Posted By: Emma Borges
This is a chance to help shape the future of AI-driven products from the ground up. The team is looking for a seasoned full-stack engineer who can lead technical initiatives, influence architecture, and collaborate closely with AI/ML experts to bring innovative ideas into production. If you're passionate about modern engineering practices, mentoring others, and building cutting-edge applications in a highly collaborative environment, you'll find tremendous opportunities for growth, ownership, and long-term career development here.
Required Skills & Experience
- 12+ years of full-stack software engineering experience
- Bachelor's degree in Computer Science, Engineering or a related field
- Strong expertise with Java, SpringBoot, Python, and React
- Experience designing and developing scalable web applications and microservices
- Strong understanding of REST API's and software architecture
- Experience with CI/CD pipelines, Git, testing frameworks, and modern development practices
- Proven ability to mentor engineers and lead technical initiatives
- Experience with AWS and/or Azure
- Hands-on experience with Docker and Kubernetes
- Experience integrating LLMs, Gen AI services, or ML-driven applications
- Experience leading greenfield product development initiatives
Tech Breakdown
- 35% Java/ SpringBoot
- 25% React
- 20% Python
- 20% Cloud, AI/ML integrations & DevOps
- 75% Hands On
- 10% Management Duties
- 15% Team Collaboration
- Bonus eligible
Use of AI in Hiring: No
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future
Posted By: Emma Borges
More about this job
Responsibilities
Lead technical initiatives and influence architecture to build scalable AI-powered applications. Collaborate with AI/ML experts to bring innovative products from greenfield development into production.
Requirements
Requires over 12 years of full-stack experience with a degree in Computer Science or a related field. Must have strong expertise in Java, Spring Boot, Python, and React.
Skills
- Java
- Spring Boot
- Python
- React
- Microservices
- REST API
- CI/CD
- Git
- AWS
- Azure
- Docker
- Kubernetes
- LLM
- Generative AI
- Software Architecture
- Mentoring
Benefits
- Bonus Eligible
Visa sponsorship
Not detected in the job text
Hiring contact
Emma Borges
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Finance & Accounting
Keywords
- Java
- Spring Boot
- Python
- React
- Cloud Technologies
- AI
- Machine Learning
- LLM
- Generative AI
- Microservices
- REST API
- CI/CD
- Git
- AWS
- Azure
- Docker
- Kubernetes
- Software Architecture
- Full Stack
- Financial Information
- Analytics
- Greenfield Development
- DevOps
- Scalability
- Engineering