Java Full Stack Developer

Bespoke Technologies, Inc

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on back-end Java development experience (not JavaScript or Spring Boot) with production deployment proficiency
  • Intermediate to expert level experience in Solr or Elasticsearch, including schema updates and query optimization
  • Minimum 3 years of experience with big data technologies such as Hadoop, PySpark, and HBase
  • College degree in Computer Science or a related technical field
  • Active Poly clearance is mandatory for consideration

Responsibilities

  • Support backend development team by creating and maintaining middleware and backend services
  • Conduct code reviews, unit testing, and integration testing prior to deployment
  • Implement and optimize schema updates in Solr or Elasticsearch environment
  • Submit and optimize Lucene queries for maximum performance
  • Leverage big data tools to manage and analyze extensive data sets

Benefits

  • No remote work options, contributing to a close-knit team environment
  • Work in a secure environment requiring active Poly clearance, enhancing trust and professional integrity
  • Exposure to advanced big data technologies and tools
  • Opportunity to contribute to crucial backend services in high-stakes projects
Full Job Description
BT-220 - Java Full Stack Developer
Location: Chantilly, VA (fully on-site, no remote option)

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

Bespoke Technologies is seeking a Java Full Stack Developer to support a backend development team focused on middleware and backend services. This role requires Java programming expertise with JUnit testing and experience with big data pipeline technologies, such as Spark, Iceberg, HBase, and Snowflake.

Mandatory Skills
  • Minimum of 5 years of hands-on, back-end Java development experience (not JavaScript or Spring Boot) implementing code that undergoes code reviews, unit testing, integration testing and deployed to a production environment
  • Intermediate to Expert level experience in Solr or Elastic Search (minimum 3 years)
    • Performing schema updates
    • Possessing significant knowledge & experience in submitting Lucene queries
    • Possessing significant knowledge & experience on how Solr/Elastic shards work
    • Possessing significant experience tuning Solr/Elastic for performance and query optimization
  • Minimum of 3 years of experience in a big data environment using tools such as Hadoop, PySpark, Spark, and HBase (prefer at least two of the list)
  • College degree in Computer Science or equivalent technical degree

Optional Skills
  • Demonstrated experience working with several AWS services.
  • Demonstrated experience with JIRA and GITHUB.

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