Senior Software Quality Engineer, Shopping Ads

About Shopping Ads

Shopping ads are expected to be the next major growth for the business. This product will be integrated into a patented platform to deliver search results in real time to millions of consumers each day when they are commencing shopping journeys online. 

We want to push the boundaries of the possible with this product - we want to be able to traverse product catalogs of the world’s top brands with millions of rows and present the most relevant results to consumers within milliseconds

The Role

As a senior quality engineer, you will be using best testing practices and standardized documentation combined with the latest in automation tools. As a member of a small team, you will work closely with members of other departments to help evangelize these best practices. As a company and a QE team, we encourage innovation and collaboration. We aim to leverage each other's strengths and help each other with our weaknesses. New ideas and out of the box thinking are always welcomed and fostered.

What you’ll do:

• Work with business and the engineering teams to understand product requirements (both business and technical) and create test plans and test cases
• Follow programming best practices to codify manual test cases into automated tests using tools such as RestAssured and Jmeter 
• Maintain test infrastructure to ensure validity and reliability of test execution and results
• Work closely with the DevOps team to create/configure containerized test environments to achieve seamless test integration in local and AWS environments using tools like Jenkins, Docker
• Support development team to ensure that software meets functionality, performance and quality requirements
• Be the voice and champion for quality throughout all the SDLC phases
• Monitor and report on metrics to ensure the quality of our features is consistent 
• Help mentor and coach junior engineers as they progress in their career

Requirements:

• BS in Engineering, Computer Science or related discipline
• 3+ years of test automation using Java
• Experience of testing data pipelines using workflow orchestration tools such as Azkaban / Airflow
• Experience with Apache Spark, Apache Solr / ElasticSearch
• Solid understanding of api based feature delivery
• Working knowledge of SQL and databases
• Excellent communication, documentation and troubleshooting skills
• Experience with some of the common performance test tools
• Working knowledge of Jira or other issue tracking systems
• Comfortable working in an agile environment

Nice to have:

• Experience with shell scripting
• Automated testing of user interfaces with Cypress
• Experience with data warehouses such as Vertica or Snowflake

#LI-Hybrid