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Job Title: Java Full Stack Developer
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$45/HR INC
Job Description
We are looking for a skilled Java Full Stack Developer with strong hands-on experience in modern API development, event-driven systems, and cloud-native application delivery. The ideal candidate should be comfortable working in a hybrid environment and collaborating closely with cross-functional teams.
Roles & Responsibilities
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$45/HR INC
Job Description
We are looking for a skilled Java Full Stack Developer with strong hands-on experience in modern API development, event-driven systems, and cloud-native application delivery. The ideal candidate should be comfortable working in a hybrid environment and collaborating closely with cross-functional teams.
Roles & Responsibilities
- Design, develop, and maintain RESTful or GraphQL APIs using NodeJS
- Build and execute automated unit tests to ensure application quality
- Write and optimize SQL database queries for performance and reliability
- Participate in and support DEVOPS pipeline activities, including CI/CD processes
- Develop and support event-driven applications using Kafka
- Leverage AI tools to improve productivity, code quality, or development workflows
- Strong practical experience in API development using NodeJS
- Hands-on experience with automated unit testing frameworks
- Excellent understanding of SQL databases and query optimization
- Good working knowledge of DevOps pipelines and CI/CD concepts
- Experience with Kafka and event-driven architecture
- Exposure to and hands-on usage of AI-powered development tools
Key Skills
Ranked by relevance
ai
ai tools
devops
java
cicd
sql
graphql
kafka
cloud
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- Posted
- Apr 24, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Toronto
- Company
- Aarorn Technologies Inc
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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Senior Data & Machine Learning Engineer (all genders)
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