At a glance
Automatically prepared from the listing. Check the original description for the full requirements.
Jump to the original descriptionResponsibilities
Develop and maintain scalable, robust applications using Java, Scala, and Spring Boot within a microservices architecture. Design and implement data pipelines, ETL processes, and CI/CD pipelines for cloud-native deployment on Azure and OpenShift.
Requirements
Requires extensive experience in Java/Scala back-end development and at least 3 years of front-end experience with Vue or React. Proficiency in Big Data technologies, Kafka, and cloud orchestration tools like Kubernetes and Docker is essential.
Working hours
40 hours per week
Skills
- Java
- J2EE
- Spring Boot
- Microservices
- RESTful APIs
- Vue
- React
- Scala
- NoSQL
- SQL
- Kafka
- Jenkins
- OpenShift
- Microsoft Azure
- Kubernetes
- Docker
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
Keywords
- Java
- J2EE
- Spring Framework
- Spring Boot
- RESTful APIs
- Microservices
- NoSQL
- SQL
- Vue
- React
- Scala
- Big Data
- Kafka
- ETL
- DevOps
- Jenkins
- GitHub
- CI/CD
- OpenShift
- Microsoft Azure
- Kubernetes
- Docker
- Azure DevOps
- SOLID Principles
- Functional Programming
- Elastic Search
- Snowflake
- GenAI
- Data Science
- Financial Analytics
Original 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.
