Position: Java/Kotlin Engineer
Company: Diversido
Experience required: 3y
Category: Java
English level: upper
Published: 2022-09-01T00:00:00+03:00

**Required skills**
3+ years of commercial experience in web development
Demonstrable experience with Java and/or Kotlin.
Familiarity with CI/CD pipelines
Exposure to API design, service development, enterprise development patterns, and messaging technologies
Comfortable with a Unix command line. Experience with Linux distributions is highly desirable.
Familiarity with Big Data technologies (Hadoop, Elasticsearch, Zookeeper, ...)
Familiarity with distributed architectures, queueing, and associated patterns and practices
Experience with Lucene and Solr
Good English communication skills, both written and spoken
High level of responsibility and problem ownership

**As a plus**
Experience working in Agile 
Python and/or Javascript  (react, d3)
Familiarity with container-based deployment 
Elasticsearch clustering
Kubernetes & networking
Cloud automation

**We offer**
Flexible working schedule
Paid vacation and sick leaves
Medical insurance or sport coverage
Open, friendly, and cooperative team
Education subsidy and access to a huge amount of company education resources
Regular performance reviews and salary updates

**Responsibilities**
Work together with UK team to build a discovery and search tool for enterprise clients
Implement connectors to search structured and unstructured data in Sharepoint, Active Directory, Google Drive, One Drive surface areas
Implement other connectors into CRMs, ERP, SaaS based tools and others
Creating AI based automated remediation and classification of the discovered data
UI refresh implementation

**Project Description**
Full-scale privacy and governance platform - discovery and search tool. The tool is built in Java and uses Lucene and Solr for search capabilities and has built certain connectors to search structured and unstructured data in Sharepoint, Active Directory, Google Drive, One Drive surface areas. The plan is to scale this out to other connectors (eg into CRMs, ERP, SaaS based tools and others) and conducting AI based automated remediation and classification once the data has been discovered.
The engineering team and product manager are in the UK, working in Agile.