Java Full stack Developer

Aarorn Technologies Inc; Toronto; On-site; CAD 66,000 - 72,000; Part time

Job summary

Aarorn Technologies Inc is seeking a Java Full Stack Developer for a Toronto, ON contract role with onsite work. You will contribute to backend services in Java/J2EE using Spring and Spring Boot, and build frontend components with Vue.js or React.

The position involves designing scalable microservices, integrating with data stores, and deploying in cloud environments. The candidate should have strong Java experience, RESTful APIs, Kafka data streaming, DevOps pipelines, and containerized

Qualifications

• Experience with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/SQL databases.
• 3+ years frontend experience with Vue.js or React.
• Extensive experience building and maintaining applications using Spring Framework and Spring Boot for microservices.
• Expertise with Big Data tech including Kafka for real-time streaming and data pipelines.
• DevOps experience with CI/CD (Jenkins) and GitHub for version control.
• Cloud familiarity with OpenShift and Azure; container orchestration with Kubernetes/Docker.

Skills

Java/J2EE

Spring Framework

Spring Boot

RESTful APIs

Microservices

NoSQL/SQL databases

Vue.js

React

Scala/Java

Kafka

Jenkins

GitHub

OpenShift

Azure

Kubernetes

Docker

SOLID design

Functional programming

Tools

Jenkins

GitHub

OpenShift

Azure DevOps

Kubernetes

Docker

Job description

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.