Product Engineer

Job Title: Product Engineer (Full Stack) / Senior Product Engineer

Location: Toronto, ON / Ottawa, ON, Canada (Hybrid)

Summary

• The Product Engineer (Full Stack) is responsible for designing, building, and maintaining robust, scalable full-stack features for the client's core enterprise Banking Platform.
• Working across modern front-end interfaces and distributed back-end architectures, this role delivers mission-critical banking software, participates in technical design discussions and code reviews, and leverages modern AI-assisted engineering tools to accelerate development workflows.

Core Competencies

• Full-Stack Development: Modern React / Front-End Frameworks | Core Java / J2EE Back-End | RESTful APIs | Microservices Architecture
• Data & Persistence Layer: Database Query Optimization | Relational Databases (Oracle, PostgreSQL, MS SQL) | NoSQL (Cosmos DB) | Data Modeling
• Event-Driven & Cloud Platforms: 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 Developer Tooling | Generative AI Workflows | AIOS-Enabled Development Practices

Technical Skills & Tools

Front-End Development

React (Critical), TypeScript, JavaScript (ES6+), HTML5, CSS3, Modern UI Frameworks

Back-End Development

Java (Core/J2EE), Spring Boot, Hibernate, REST APIs, Microservices, EJB / Servlets, Go / Rust (awareness)

Databases & Data Stores

PostgreSQL, Oracle, MS SQL Server, DB2, Azure Cosmos DB, Complex SQL Query Optimization

Messaging & Cloud Stack

Apache Kafka / Event Streaming, Microsoft Azure, Kubernetes, Docker

Build, CI/CD & Testing

Git, Maven, Eclipse, SonarQube, JUnit, CI/CD Pipelines

AI & Productivity Tools

AI-Assisted Coding Tools (GitHub Copilot, Cursor, etc.), AIOS Platform Workflows

Key Responsibilities

• Full-Stack Feature Delivery
• Design, build, and maintain scalable, reliable, and secure full-stack software features across front-end (React) and back-end (Java/Spring) enterprise platform systems.
• Translate complex banking requirements, functional designs, and user stories into 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 optimize database schemas, relational tables, and complex queries across PostgreSQL, Oracle, and MS SQL Server.
• Integrate event-driven and asynchronous messaging workflows utilizing Apache Kafka 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 degree in 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 knowledge across 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 coding tools.