Java Developer

Novia Infotech United State
Remote
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AI Summary

Develop modern large-scale, distributed and multi-tier enterprise server-side applications. Build AI/ML pipelines in cloud environments. Experience with Core Java, NodeJS/JavaScript, and Python.

Key Highlights
Develop modern large-scale, distributed and multi-tier enterprise server-side applications
Build AI/ML pipelines in cloud environments
Experience with Core Java, NodeJS/JavaScript, and Python
Technical Skills Required
Java NodeJS JavaScript Python Jenkins Gradle Git Gerrit Kafka Elasticsearch Redshift Postgres Cassandra Redis Influx DB Terraform Ansible Bash scripting
Benefits & Perks
Long term contract
Fully remote role

Job Description


Role: Java Developer

Location – Fully Remote Role

Long term contact


Minimum Requirements for this role:

  • BSEE/CS combined with 5+ years related experience or MSEE/CS combined with 3+ years of related experience.
  • Solid understanding of AI/ML models and their application in real-world use cases such as location intelligence, occupancy analytics, or predictive modeling.
  • Strong experience in developing modern large-scale, distributed and multi-tier enterprise server-side applications, both frontend and backend.
  • Extensive technical experience and development expertise in Core Java, NodeJS/JavaScript, and Python.
  • Experience using Jenkins, Gradle, Git/Git Hub, Gerrit, etc.

Preferred Qualifications:

  • Experience building AI/ML pipelines in cloud environments, with an understanding of how they can support smart building or IoT-related analytics.
  • Hands-on cloud expertise and experience with AWS, Azure, or Google Cloud, including services like Lambda, Kubernetes, API Gateway, RDS, DynamoDB, and S3.
  • Experience with any or all of the following highly desirable: Kafka, Elasticsearch, Redshift, Postgres, Cassandra, Redis and Influx DB.
  • Strong skills in automation and scripting with Terraform, Ansible, or Bash scripting.

Experience with unit testing, integration testing, and test automation frameworks


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