Java Software Developer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Hexa Business Full time

POSITION: JAVA DEVELOPER

JOB TYPE: PERMANENT POSITION

Responsibilities

  • Develop and maintain our in-house solution - MSSGard based on given specifications.
  • Develop and maintain a continuous integration framework to simplify the delivery of MSSGard.
  • Research on emerging realtime engines and big data analytics technologies.
  • Continuously looking at ways to improve MSSGard's performance (profiling, code optimizations, etc).
  • To provide best-practice knowledge in software development be it technical or nontechnical.

Required skills

  • 5+ years of experience in developing complex high-performance application.
  • Strong development skills using Java and Spring Framework.
  • Strong Web development skills using HTML5, CSS3, Angular Framework.
  • Strong RDBMS skills using PostgreSQL.
  • Knowledge in core design patterns and best practices.
  • Knowledge in version control and build tools such as Maven, Mercurial, Git.
  • Knowledge in Tomcat or JBoss/WildFly Application Server.
  • Ability to work on both Linux and Windows platform.
  • Understanding of AI/ML model fundamentals in prompt engineering and model finetuning.

Desired skills

  • Working experience with agile methodologies such as Scrum or Kanban.
  • Working experience in developing highly scalable multi-threaded application.
  • Knowledge in Complex Event Processing technologies such as Apache Storm/Spark, Flume, Kafka etc.
  • Knowledge in ElasticSearch & MongoDB.
  • Knowledge in Python/Bash scripting.
  • Knowledge in network or system management tools, network and security devices and protocol such as Syslog, SNMP, TCP/IP, UDP, NTP.
  • Hands-on experience with prompt engineering and optimization for various AI models and use cases.
  • Practical knowledge of fine-tuning techniques for large language models and domainsmpecific applications.
  • Familiarity with AI model deployment, monitoring, and maintenance in production environments.
  • Understanding of retrieval-augmented generation (RAG) and vector databases for AI applications.

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