Java Spring Boot Developer – Microservices, Kafka, SQL & AI Tools

Java Spring Boot Developer – Microservices, Kafka, SQL & AI Tools Location: Toronto, ON - Hybrid (4 Days WFO) Key Skills Java REST API / Microservices MQ Spring Framework Spring Boot (2.x) JSON Hibernate SQL Oracle Kafka Role Description We are seeking a skilled with robust SQL expertise and experience leveraging AI tools for code generation to join our dynamic engineering team. The ideal candidate will design, develop, and maintain scalable backend systems, optimize database performance, and harness AI-driven tools to enhance productivity and code quality. Key Responsibilities Design and implement RESTful APIs and microservices using Spring Boot. Develop and optimize complex SQL queries, stored procedures, and database schemas for high-performance applications. Utilize AI-powered code generation tools (e.g., GitHub Copilot, Amazon CodeWhisperer, or similar) to accelerate development while ensuring code reliability and adherence to best practices. Collaborate with cross-functional teams to integrate AI-generated code into existing systems, ensuring seamless functionality and maintainability. Troubleshoot and resolve application and database performance issues. Participate in code reviews, ensuring AI-generated code meets quality standards and aligns with project requirements. Stay updated on emerging AI tools and frameworks to continuously improve development workflows. Required Qualifications 3 years of professional experience in Java and Spring Boot development. Strong proficiency in SQL (query optimization, indexing, transaction management) with experience in relational databases (e.g., PostgreSQL, MySQL, SQL Server). Hands-on experience using AI code generation tools (e.g., GitHub Copilot, ChatGPT for code, or similar) in a production environment. Familiarity with microservices architecture, REST APIs, and containerization (Docker/Kubernetes). Solid understanding of software engineering principles, design patterns, and version control (Git). Excellent problem-solving skills and ability to work independently and in agile teams. Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) and DevOps practices. Knowledge of NoSQL databases (e.g., MongoDB) or distributed SQL systems. Familiarity with AI/ML concepts and their application in software development. Contributions to open-source projects or a portfolio demonstrating AI tool usage.

Design and implement scalable backend systems and RESTful APIs using Spring Boot and microservices architecture. Optimize database performance and integrate AI-powered code generation tools to enhance development productivity and code quality.

Requires 3 years of professional experience in Java and Spring Boot with strong proficiency in SQL and relational databases. Candidates must have hands-on experience using AI code generation tools in a production environment.

• KubernetesSouhaitée
• SQLSouhaitée
• DockerSouhaitée
• JavaSouhaitée
• Spring BootSouhaitée
• GitSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Java
• Spring Boot
• Microservices
• Kafka
• SQL
• REST API
• Hibernate
• Oracle
• JSON
• Spring Framework
• MQ
• GitHub Copilot
• Amazon CodeWhisperer
• Docker
• Kubernetes
• Git

• Software
• Technology
• Engineering
• Consulting
• Data & Analytics

Expérience minimale

2+ ans

Postuler avant le

3 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte