Postuler

Publié il y a 3 jours

Product Engineer

@ Lorven Technologies Inc.

Toronto, Ontario

Temps plein5+ ans d’expérience
Postuler
SIGNAUX

En bref

Lorven Technologies Inc. is hiring a Senior Product Engineer (Full Stack) in Toronto or Ottawa, hybrid, to build and maintain features for a client's enterprise banking platform. The work spans React front ends, Java/Spring back-end microservices and event-streaming data flows. The posting asks for 5+ years of full-stack experience and a bachelor's degree in a related discipline.

Responsabilités :

  • Design, build and maintain full-stack banking features
  • Build responsive React interfaces connected to Java REST microservices
  • Design schemas and optimize queries across PostgreSQL, Oracle and MS SQL Server
  • Integrate Apache Kafka event-driven workflows
  • Contribute to design discussions and code reviews

Résumé des exigences :

  • 5+ years of professional full-stack development experience
  • Bachelor's degree in Computer Science, Computer Engineering, IT or related field
  • Strong React proficiency (critical)
  • Extensive Java J2EE, Spring and Hibernate experience
  • Knowledge of Kafka, Azure and Kubernetes

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-10
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Computer Engineering, Information Technology

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Lorven Technologies Inc.

ChampValeur
Offres sur Jobsy10
Description

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.

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