20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You’ll spend mornings running or reviewing automated test suites and updating test scripts for currency. That often means using tools that call into systems like AWS EC2 instances or databases such as Amazon Redshift or DynamoDB to build realistic test environments.
Afternoons are for defect triage: reading logs, running initial debugging (check config files, reproduce errors), joining design or code reviews, and coordinating third-party or user (beta) testing. You also write or update testing documentation and track bug resolution progress.
Start with Amazon Web Services (AWS): know EC2 for test servers, AWS CloudFormation for provisioning environments, and Amazon S3/Redshift/DynamoDB for storing and querying test data. Those are named systems you’ll see often.
Also learn a test automation framework (Selenium, pytest, or similar) and AJAX basics for web testing. Learn how to run automated tests against CI environments and update automated test scripts as software changes.
Yes, but use AI as an assistant. Let it suggest test cases, write draft automated test scripts, or summarize logs. Always review and run those scripts yourself; AI can make plausible but incorrect code.
Keep sensitive data out of public AI tools. If you use AI inside your company, follow your team’s privacy and compliance rules and validate outputs against real system behavior (e.g., reproduce defects on an EC2 test instance).
According to the U.S. Bureau of Labor Statistics (BLS), 186,740 people were employed in this area with a median pay of $104,300 per year. The lowest tenth earned about $61,440, and the top tenth earned about $167,010 per year.
Local pay varies by industry, experience, and tool knowledge (cloud skills like AWS often push pay higher). Use BLS as the baseline source for these numbers.
All three matter, but prioritize automated testing and debugging skills first: ability to write/update automated test scripts, read logs, and reproduce bugs. Know one language used for tests (Python, JavaScript) and how to run tests against systems like EC2 or DynamoDB.
Next, basic statistics and Six Sigma concepts help you analyze historical test results and measure process improvements. Communication is critical too: you’ll report defects, coordinate third-party testing, and explain fixes to developers and stakeholders.