Java Full Stack Developer

Bespoke Technologies, Inc.; Chantilly (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Bespoke Technologies is seeking a Java Full Stack Developer to support a backend team focused on middleware and services. Location is Chantilly, VA, on-site only. Active Poly clearance is required to be considered for this role.

Applicants should have strong Java development experience, hands-on testing, and familiarity with big data technologies such as Spark and HBase, as well as Solr/Elastic Search for search capabilities.

Qualifications

• Minimum of 5 years of hands-on back-end Java development with code reviews and unit/integration testing.
• 3+ years of experience with Solr or Elastic Search including schema updates and Lucene queries.
• 3+ years in a big data environment using Hadoop, PySpark, Spark, or HBase.

Skills

Java back-end development

Solr or Elastic Search

Big data tools (Hadoop/PySpark/Spark/H

Education

Bachelor's degree in Computer Science or equivalent

Tools

JIRA

GitHub

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.