Our client is looking Product Engineer (Full Stack) / Senior ProductEngineer for Long Term project in Toronto, ON / Ottawa, ON (Hybrid) Below is the detail requirement.
Role: Product Engineer(Full Stack) / Senior ProductEngineer
Location: Toronto, ON / Ottawa, ON, Canada (Hybrid)
Domain: Enterprise SaaS | Core BankingPlatform | Cloud & AI-Assisted Engineering
Summary
The Product Engineer (Full Stack) is responsible for designing, building, and maintaining robust, scalablefull-stack features for Zafin's core enterprise BankingPlatform. Working across modern front-end interfaces and distributed back-end architectures, this role delivers
mission-critical bankingsoftware, participates in technical designdiscussions and code reviews, and leverages modern AI-assisted engineering tools to accelerate development workflows.
CoreCompetencies
- Full-Stack Development: Modern React / Front-EndFrameworks | Core Java / J2EE Back-End | RESTful APIs | Microservices Architecture
- Data & Persistence Layer: Database QueryOptimization | Relational Databases (Oracle, PostgreSQL, MS SQL) | NoSQL (Cosmos DB) | Data Modeling
- Event-Driven & CloudPlatforms: Event Streaming (Apache Kafka) | Containerization (Docker, Kubernetes) | Microsoft Azure Cloud Ecosystem
- Engineering Rigor & Quality: Clean Code & SOLID Principles | Code Reviews| Automated Testing (JUnit) | CI/CD Integration (Maven, SonarQube)
- AI-Assisted Engineering: AI DeveloperTooling | Generative AI Workflows | AIOS-Enabled Development Practices
KeyResponsibilities
- Full-Stack FeatureDelivery
- Design, build, and maintain scalable, reliable, and securefull-stack software features across front-end (React) and back-end (Java/Spring) enterprise platform systems.
- Translate complex bankingrequirements, functional designs,and user storiesinto clean, well-tested, maintainable production code.
- Implement responsive web user interfaces in React and connect them with high-throughput RESTful backend APIs and microservices.
- Data Modeling& Event-Driven Systems
- Design and optimizedatabase schemas, relational tables, and complexqueries across PostgreSQL, Oracle, and MS SQL Server.
- Integrate event-driven and asynchronous messaging workflows utilizing ApacheKafka to support high-volume financial data streaming.
- Architecture, Code Quality & AI Enablement
- Actively contribute to technical design discussions, architectural decisions, and comprehensive peer code reviews.
- Enforce engineering standards, proactively identify architectural bottlenecks, and mitigate delivery risks.
- Adopt and apply modern AI-assisted engineering practices (e.g., Copilot, AI agents) to optimize daily development cycles and support AIOS platform workflows.
Requirements & Qualifications
Experience & Education:
- 5+ years of professional full-stack software development experience building enterprise-grade applications.
- Bachelor’s degreein Computer Science,Computer Engineering, Information Technology, or a related discipline.
Core Technical Skills:
- Strong hands-on proficiency with modern front-end JavaScript frameworks, with React being critical.
- Extensive back-end development experience using Java(J2EE / Spring/ Hibernate) and REST microservices.
- Strong database and query-building knowledgeacross multiple enterprise engines (PostgreSQL, Oracle, MS SQL Server, Cosmos DB).
- Solid understanding of event-streaming architectures (Apache Kafka) and containerized cloud environments (Azure, Kubernetes).
Nice-to-Have Skills:
- Domain knowledge in Banking, FinTech,or large-scale financial institutions.
- Hands-on familiarity with CI/CD tools,Maven, SonarQube, and JUnit.
- Demonstrated interest or hands-on experience using AI-assisted codingtools.
