Software Quality Assurance Engineer - Automation

Experian
location_on гр. София

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  • Дистанционно интервю

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Software Quality Assurance Engineer - Automation

Today, it's not uncommon for someone to have multiple emails or to mistype an email address at the point of entry. It's critical for businesses to send emails to valid and active inboxes to stay in compliance and avoid being blacklisted.

That's where Experian and you come in.

Reporting into Software Team Manager as part of our Data Quality Team, you will work on our Email Validation (EV) Product which is a real-time REST API used for email validation and correcting all parts of an email address to ensure it is live and receiving mail by sending a silent ping. Available in several deployment methods.

What you'll do:

  • Perform automated testing and release processes of standard and complex modules.
  • Perform investigation of production defects, including root cause analysis.
  • Design test cases and test scripts under own direction, mapping to pre-determined criteria.
  • Determine product quality goals, standards and levels and map through the QA Approach.
  • Ensure testing activities are carried out following release and Sprint planning activities.
  • Responsible for specific area of performance test strategy (e.g. test data, environments).
  • Design security test cases and assign appropriate level of priority.
  • Reduce cycle time by identifying bottlenecks.
  • Improve knowledge of the technologies used.
  • Gain knowledge on all developed products and understand how clients use them.
What you'll bring:
  • Around 3 years of experience in Software Automation Quality Assurance.
  • Experience with Java or another OOP language.
  • Bachelor in Computer Science, Information Technologies, Software Engineering or relevant.
  • Experience with TypeScript, Python, Bash.
  • Knowledge of K6, Elastic Search, Logstash, Redis, Kibana, and ActiveMQ.
  • Experience with Linux.
  • Experience with Git or similar versioning control system.
  • Working knowledge of Azure and Azure Pipelines (desirable).
  • Experience with Databases - PostgreSQL, CosmosDB, h2.
  • Expert understanding of software development process.
  • Fluency in written and spoken English.


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