Position: QA Automation Lead
Company: Diversido
Category: QA Automation
Experience required: 3y
English level: upper

**Required skills**
4+ years of experience in software testing (at least 3 years in Automation)
Perfect understanding of the SDLC and testing process
Perfect understanding of test levels and test types
Hands-on experience with Selenium Grid
Fluent English, both written and spoken
High level of responsibility and problem ownership

**As a plus**
Experience working in Agile 
Selenium Test Automation Certification

**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**
Guide the writing, maintenance, and continual improvements to our suite of automation tests 
Work with the development teams to identify new areas for potential automation and providing feedback 
Stay informed of the state-of-the-art with regards to automation frameworks and tooling 
Identify, record, thoroughly document and track bugs
Perform/implement thorough regression testing when bugs are resolved 
Liaise with internal teams (e.g. developers and product managers) to identify system requirements 
Track quality assurance metrics (e.g. defect densities and open defect counts)
Design test environments (e.g. Sharepoint or Office 365) and source/generate test data as needed
Help us minimise ad hoc manual testing
Disseminate information to the wider team

**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.