Expert​/Lead QA Engineer

Detailed description of work task to be carried out

We are looking for an Expert QA Engineer to strengthen performance engineering with strong focus on automation.

As a QA Lead you will be responsible for directing software development teams, defining testing strategies, automating processes, and ensuring product reliability before release.

• Requirement analysis and questioning requirements when they are not clear
• Test scenario and test case preparation
• Test data preparation
• Implement test automations scripts in Robot Framework and Python
• Implement automated solutions for data to day tasks
• Test planning and test execution
• Test results analysis and defect reporting
• Execute automated regression using CI/CD
• Identify and implement improvements in day to day process, tasks and challenges

To succeed in this role, we believe that you:

• Are collaborative and achieve your expectations through communication and teamwork in Agile setup (SAFe Framework)
• Are curious, responsive and can understand the needs of others to ensure delivery of the desired results
• Work qualitatively and strive to always do things better
• Have a high level of self-motivation

As an Expert QA Engineer you will ensure software quality by driving testing strategy and automation to streamline development delivery in Data Enablement Team.

• 7+ years of development experience with Python
• 7+ years experience with database technologies
• 5+ years experience with GIT
• 4+ years experience with Robot Framework
• 4+ years experience with CI/CD tools such as Jenkins

In addition to above, you must have:

• Strong working experience with Linux and bash
• Confidence to question inefficient solutions and processes, proposes smarter solutions
• Analytical thinking and problem solving skills
• Test management tools such as qTest, Zephyr
• Experience using following tools :
  Jenkins or Bamboo, Jira, bitbucket
• Strong communication skills to work collaboratively with developers, analysts, POs and SMs

In addition to above, you should be familiar with:

• Distributed data processing engines like Spark
• Hadoop ecosystem (Hive, Oozie, map reduce, ect)
• Confident writing complex SQL queries
• Basic AWS knowledge about architectural components ( Lamba, step functions, state machine, ect)

• Experience with containerization using Docker
• Knowledge of streaming and queues technologies e.g. KAFKA, IBM MQ etc
• Exposure to Scala/Spark

Possible location
:
Trójmiasto, Warszawa or Łodź.

Hybrid work is possible with 1 day/week office presence + once/twice per year physical presence in Gdynia/Gdańsk for quarterly PI Planning (2 days) may be required.