Hire Automation Developers

An Automation Engineer is responsible for designing, developing, and implementing automated solutions to improve the efficiency and effectiveness of software testing processes. They create and execute automated test cases, identify and report defects, and collaborate with other team members to ensure high-quality software delivery.

Manual QA involves testing software applications to find defects, bugs, and performance issues. It involves a tester using various testing techniques, such as exploratory testing, to identify potential issues.
Automation QA, on the other hand, involves using automated tools and scripts to execute predefined test cases. It involves automating repetitive and time-consuming manual testing tasks, such as regression testing, to save time and improve testing efficiency.

It is advisable to incorporate Quality Assurance (QA) in the software development process at the earliest possible stage, ideally during the planning phase. This guarantees that quality is integrated into the product from the beginning and diminishes the chances of problems occurring later. By offering valuable insights on requirements, design, and implementation, QA can assist in identifying defects early on.

To check QA automation quality, you can start by defining clear and measurable goals for the automation process. Develop and execute test cases covering all relevant scenarios and ensure the automation scripts are stable and maintainable. Monitor the test results and track defects to identify areas for improvement. Use code reviews and continuous integration to ensure the code quality is maintained. Finally, regularly review the automation process and make adjustments as necessary to ensure that it meets the desired quality standards.

The average costs of hiring Automation Developers range from $18 to $28 per hour.
Please get in touch with us to hire Automation developers from Thinkitive.

QA automation developers use many tools and technologies. Some of the most common ones include:

1. Test management tools such as Jira, TestRail, and HP Quality Center
2. Automation frameworks such as Selenium, Appium, and Cypress
3. Programming languages such as Java, Python, and JavaScript
4. Build tools like Maven and Gradle for automation script management
5. Continuous Integration/Continuous Delivery (CI/CD) tools like Jenkins, Travis CI, and CircleCI
6. Performance testing tools like JMeter and Gatling
7. API testing tools such as Postman and SOAPUI
8. Virtualization tools such as Docker and Vagrant

The amount of time it takes to write automation scripts can vary depending on various factors, such as the complexity of the application being tested, the experience and skill level of the automation developer, the type of automation framework being used, and the number of test cases that need to be automated.
Simple test cases with straightforward steps may take only a few hours to automate, while more complex scenarios can take days or weeks to script. It's also important to consider that automation script writing is an ongoing process that may require maintenance and updates over time, especially as the tested application evolves.

When hiring a QA automation developer, look for skills such as proficiency in automation frameworks and scripting languages, experience with test management tools and CI/CD pipelines, knowledge of software development methodologies, attention to detail, problem-solving skills, and effective communication and collaboration abilities.

1. Planning: We define the scope of the testing project, set objectives and goals, identify risks and dependencies, and create a plan for how the testing will be conducted. This includes creating a test plan, test cases, and a schedule for executing tests.
2. Design: We design the tests that will be executed. This includes creating test cases, determining the testing environment, and identifying necessary tools or resources.
3. Execution: We run the tests designed in the previous phase. The results of the tests are recorded, and any identified defects or issues are documented.
4. Reporting: The test team will analyze the results and report their findings. This includes identifying any defects or issues discovered and recommendations for addressing them.
5. Closure: In this final phase, the project team will review the testing results and determine if the objectives and goals of the project were met. Any necessary follow-up actions will be identified and documented, and the project will be formally closed.

We support deployment and User Acceptance Testing (UAT) by following a well-defined process that includes planning, preparation, execution, and evaluation. Before deployment, we typically develop a deployment plan that includes identifying deployment risks, scheduling the deployment, and creating a rollback plan in case issues arise.
UAT involves testing the software by end-users to ensure it meets their requirements and is ready for deployment. We provide training and support to users during UAT and may also offer support services to address any issues during deployment. We communicate with stakeholders throughout the process to inform them of progress and any issues. We work to ensure that the deployment and UAT are completed successfully.

1. Test cases: Detailed instructions for executing tests on software or web applications.
2. Test plans: Overall strategy for testing a specific feature, function, or application.
3. Bug reports: Detailed descriptions of defects found during testing, including steps to reproduce the issue.
4. Test results: Documentation of testing outcomes, including pass/fail status and any relevant metrics.
5. Test logs: Records of test activities, including any issues encountered, test data used, and testing environment details.
6. Test summaries: Summaries of testing results, including key findings, recommendations, and overall conclusions.
7. User documentation: Documentation to help users understand how to use the software, including instructions, tutorials, and FAQs.
8. Release notes: Document changes in each software release, including new features, bug fixes, and known issues.