Java Full stack Developer

Job Title: Java Full stack Developer

Location: Toronto, ON (4x onsite a week)

Employment Type: Contract

Pay Rate: CAD$50/HR INC

Interview Type: Face 2 Face (Onsite Interview Only)

Must Have

• Experience and knowledge with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/SQL databases.
• 3+ in front end tech such as Vue / React
• Extensive experience in developing and maintaining applications using Scala/Java. Proficient in building scalable and robust applications using Spring Framework (Spring Core, Spring MVC, Spring Data, Spring Security) and Spring Boot for microservices architecture. Expertise in designing and implementing RESTful APIs and integrating them with various back-end systems. Skilled in developing and deploying microservices with a focus on high availability, fault tolerance, and scalability.
• Expertise in working with Big Data technologies, including large-scale data processing, and Kafka for real-time data streaming and event-driven architectures. Skilled in designing and implementing data pipelines and ETL processes for large-scale data ingestion and transformation.
• Experience with DevOps practices and tools, including Jenkins for continuous integration and delivery (CI/CD),Jenkins and GitHub for version control and collaboration. Proficient in CI/CD pipelines, automating deployments, and monitoring application performance.
• Expertise in cloud technologies, including OpenShift, Microsoft Azure. Skilled in deploying, managing, and scaling applications in cloud environments, leveraging services such as Kubernetes, Docker, and Azure DevOps. Experienced in designing cloud-native applications and implementation.
• In-depth understanding of object-oriented design principles, including SOLID principles, design patterns, and best practices for building maintainable and reusable code. Proficient in functional programming paradigms, including immutability, higher-order functions, and lambda expressions, with a focus on writing clean, efficient, and testable code.

Nice-to-have

• Background working in Fraud/Financial Analytics
• Elastic Search, Snowflake
• GenAI and Data Science experience

Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.