Java Back end Developer

Capgemini•Toronto, ON

3d•CA$80,000 - CA$90,000•Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

6 to 8 years hands on experience with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/SQL databases.
Experience and knowledge with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/SQL databases.
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 Haves

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

Responsibilities

Developing and maintaining applications using Scala/Java.
Building scalable and robust applications using Spring Framework (Spring Core, Spring MVC, Spring Data, Spring Security) and Spring Boot for microservices architecture.
Designing and implementing RESTful APIs and integrating them with various back-end systems.
Developing and deploying microservices with a focus on high availability, fault tolerance, and scalability.
Working with Big Data technologies, including large-scale data processing, and Kafka for real-time data streaming and event-driven architectures.
Designing and implementing data pipelines and ETL processes for large-scale data ingestion and transformation.
Utilizing DevOps practices and tools, including Jenkins for continuous integration and delivery (CI/CD).
Automating deployments and monitoring application performance.
Deploying, managing, and scaling applications in cloud environments, leveraging services such as Kubernetes, Docker, and Azure DevOps.
Designing cloud-native applications and implementation.
Applying object-oriented design principles, including SOLID principles, design patterns, and best practices for building maintainable and reusable code.
Writing clean, efficient, and testable code using functional programming paradigms.