LifeByte Systems
Java Developer
LifeByte SystemsAustralia10 hours ago
Full-timeEngineering, Information Technology

Founded in 2018, we are dedicated to fostering an ecosystem of seamless resource exchange, where efficiency and precision are paramount. With cutting-edge solutions, we empower businesses to thrive and individuals to unlock their full potential. Committed to high-tech innovation, we are actively reshaping the future, one Byte at a Time.


As a core member of the team, you will be responsible for optimizing and integrating the company's CRM system, building a high-performance data platform, and driving continuous improvements in software engineering practices. This role requires strong expertise in CRM workflow optimization, Java-based microservices development, data pipeline design, and CI/CD engineering, with the ability to translate business needs into practical technical solutions.


Key Responsibilities


CRM Optimization & Integration

  • Enhance CRM workflows (onboarding, user management, reporting system).
  • Develop backend services for CRM feature enhancements.
  • Integrate CRM with trading platforms (MetaQuotes MT4/MT5) and internal apps.
  • Translate business requirements into technical solutions.

Data Platform Development

  • Design & maintain Java-based microservices supporting data products.
  • Build ingestion, transformation, and delivery pipelines.
  • Collaborate with Data Engineers for analytics & reporting integration.
  • Ensure system reliability for high-volume data processing.

Software Engineering Excellence

  • Write clean, modular, testable code.
  • Perform code reviews, unit testing, performance tuning.
  • Maintain comprehensive documentation.
  • Improve CI/CD pipelines, deployments & release strategies.


Requirements

  • 5+ years of Java development (Java 17+, Spring Boot 3.x).
  • Strong expertise in Spring Cloud: OpenFeign, Config Server, Gateway, Resilience4j, LoadBalancer.
  • High proficiency in multi-threading, microservices, and containerization (Docker, Kubernetes).
  • Extensive experience with Kafka & stream processing (DLQ, retries, idempotency).
  • Proficient in Agile methodology & CI/CD tools (Bamboo, Octopus, Jenkins).
  • Master's degree preferred but not essential.

Key Skills

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