Java Developer

Job Title: Java Backend Developer

Location: Toronto Downtown, ON

Work Mode: Hybrid – 4 Days/Week Work From Office

Experience: 8–10 Years

Job Description:

We are looking for an experienced Java Backend Developer to design, develop, and maintain scalable, high-performance backend applications. The ideal candidate should have strong expertise in Java-based application development, cloud-native architectures, distributed systems, and exposure to Generative AI technologies.

Key Responsibilities:

• Design, develop, and maintain scalable backend services and microservices using Java technologies.
• Build and develop REST APIs and distributed applications.
• Develop event-driven architectures using Kafka for real-time data processing.
• Work with cloud platforms for application deployment and maintenance.
• Integrate and leverage Generative AI capabilities into applications and business solutions.
• Collaborate with cross-functional teams including Product, DevOps, QA, and Business teams.
• Participate in code reviews, performance tuning, troubleshooting, and production support.
• Follow Agile development methodologies and contribute to sprint activities.
• Ensure application security, scalability, and high availability.

Required Skills:

• 6–10 years of hands-on experience in Java backend development.
• Strong experience with Java 8/11/17 and Spring Boot.
• Strong understanding of Microservices architecture.
• Experience in REST API development and distributed systems.
• Hands-on experience with cloud platforms:
• Preferred: Oracle Cloud (OCP/OCI)
• Alternate: AWS or Azure
• Exposure to Generative AI technologies is mandatory (LLM integration, AI APIs, prompt engineering, RAG concepts, AI-assisted application development, etc.).
• Experience with SQL/NoSQL databases.
• Strong knowledge of Git, CI/CD pipelines, and DevOps practices.
• Experience with Docker and Kubernetes is preferred.
• Strong problem-solving and communication skills.

Preferred Skills:

• Hands-on experience with Apache Kafka.
• Experience with event-driven architecture.
• Knowledge of containerization and orchestration tools.
• Experience with monitoring/logging tools.