Java Backend Developer
Senior (6-8 yrs) Java backend developer role, on-site in Toronto 4 days a week, building microservices and large-scale data pipelines. Core stack: Java/Scala, Spring Boot, RESTful APIs, Kafka, Jenkins CI/CD, and Azure/OpenShift with Kubernetes and Docker; fraud/financial analytics background a plus.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Backend
- Posted
Skills
Must have
- 6-8 years hands-on Java backend experience
- Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, NoSQL/SQL databases
- Extensive experience developing and maintaining applications using Scala/Java
- Spring Framework (Spring Core, Spring MVC, Spring Data, Spring Security) and Spring Boot for microservices
- Designing and implementing RESTful APIs integrated with back-end systems
- Developing and deploying microservices with high availability, fault tolerance, and scalability
- Big Data technologies, large-scale data processing, and Kafka for real-time streaming / event-driven architectures
- Designing data pipelines and ETL processes for large-scale data ingestion and transformation
- DevOps practices: Jenkins for CI/CD, GitHub for version control
- CI/CD pipelines, automating deployments, and monitoring application performance
- Cloud technologies: OpenShift, Microsoft Azure, Kubernetes, Docker, Azure DevOps
- Designing cloud-native applications
- Object-oriented design principles, SOLID, design patterns
- Functional programming: immutability, higher-order functions, lambda expressions
- On-site in Toronto 4 days a week
- Face-to-face interview required
Nice to have
- Background working in Fraud/Financial Analytics
- Elastic Search, Snowflake
- GenAI and Data Science experience
Full description
Job Description
Job Description Role Name:Java Back end DeveloperLocation:Toronto 4 days a week on site F2F interview required Java Backend Developer with 6 to 8 years hands on experience
Must have:
· 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-have:
· Background working in Fraud/Financial Analytics
· Elastic Search, Snowflake
· GenAI and Data Science experience