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Back End Developer at TSR Consulting – Mississauga | Jobyssey

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Back End Developer

TSR Consulting · Mississauga, Canada · 2 weeks ago

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Category: Backend
Experience: 8+ years

api api-design aws azure bash cassandra ci-cd cloud containerization design-patterns devops distributed-systems docker

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infrastructure-as-code

Senior (8+ yrs) back-end Java developer role in Mississauga focused on building distributed data-processing, ETL, and real-time streaming systems. Core stack: Java 11-21, Spring ecosystem, Kafka/Spark/Flink/Hadoop, SQL & NoSQL databases, Docker/Kubernetes and CI/CD pipelines.

Experience: 8+ years of professional experience in application development or systems analysis, with a heavy emphasis on Java-based backend architectures.
Core Java Mastery: Deep, expert-level understanding of Core Java (Java 11/17/21), including advanced multithreading, concurrency models, Java memory model (JVM garbage collection, heap analysis), and Collections API.
Data Processing & Streaming: Extensive hands-on experience building distributed data processing systems, ETL pipelines, and real-time streaming architectures using tools like Apache Kafka, Apache Spark, Flink, or Hadoop.
Framework Expertise: Strong experience with the Spring Ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Security) and ORM frameworks (Hibernate/JPA).
Database Management: Proficiency in designing schemas and writing optimized queries for both relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL stores (e.g., Cassandra, MongoDB, Redis).
Distributed Systems: Comprehensive understanding of distributed system design patterns, consensus protocols, caching strategies, and API design (RESTful APIs, gRPC).
CI/CD & DevOps: Practical experience with containerization (Docker, Kubernetes), continuous integration/continuous deployment tools (Jenkins, GitLab CI, or GitHub Actions), and infrastructure-as-code principles.
Testing: Strong advocate for testing frameworks such as JUnit, Mockito, and integration testing tools.

Preferred Qualifications:

Experience with cloud platforms (AWS, Azure, or GCP), specifically managed database and container services.
Experience in financial services, banking technology, or large-scale enterprise transaction systems.
Familiarity with Unix/Linux environments, shell scripting, and network configurations.

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