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Manual Software Testing Jobs

Giovanni D — Thu, 26 Jun 2025 01:04:29 +0000

Manual Software Testing Jobs

If you’re exploring a career in software testing, you’re in the right place. Manual software testing jobs are in high demand and still form the foundation of many quality assurance (QA) processes, even in today’s AI-driven tech world. This article breaks down job platforms, market data, trends, challenges, and how we can help you get started—no experience required.

Top Job Seeking Platforms:

LinkedIn – A leading platform for tech professionals, often featuring roles like manual QA tester or hybrid QA analyst positions.
Indeed – Offers thousands of listings for manual testing jobs in the USA, from internships to mid-senior roles.
Glassdoor, ZipRecruiter, and Monster – Reliable sources for job postings with company reviews and salary transparency.
Niche platforms – Sites like Testers.io or QA-specific Slack and Discord communities often post new openings.

How Many Jobs Are Out There?

According to the U.S. Bureau of Labor Statistics (BLS):

In 2023, there were over 205,000 software QA tester roles in the U.S.
The broader category of software-related roles topped 1.9 million.
Manual positions specifically account for approximately 165,000 professionals, with an average salary of $81,680.

Looking ahead, software testing roles are expected to grow by 17% between 2023 and 2033, creating an estimated 327,900 new roles. This growth is well above the national average for all occupations, highlighting a strong, stable demand.

Demand Trends and Market Shifts

Manual testing remains a core component of QA work:

82% of QA professionals still use manual testing methods regularly.
However, automation is gaining ground, with 46% of professionals replacing at least half of their manual workflows.
The manual testing services market is growing at an estimated 11.7% CAGR from 2025 to 2031.
Salary potential varies: manual QA testers average around $82,000/year, while automation roles can exceed $116,000/year.

The Future of Manual QA Roles

The industry is shifting—but not disappearing. Manual QA roles are evolving rather than being replaced. Think of it as upgrading from a traditional bike to an electric one: same direction, more power.

What to expect going forward:

AI integration – Testers are increasingly using tools like ChatGPT or Copilot to enhance efficiency. Around 40%–70% of QA teams have adopted some form of AI.
Hybrid QA roles – Professionals who blend manual testing with scripting (Selenium, Cypress, etc.) are in high demand.
Strategic QA – Testers are becoming more embedded in agile teams, with roles evolving into titles like “TestOps Engineer” or “QA Strategist.”

Is It Hard to Break Into QA Testing?

Starting a career in IT can feel like learning to sail—calm waters at first, but the better your training, the easier it is to navigate the storms.

Here are the current entry barriers:

Most testers learn on the job – Only 18% received formal QA education, making it a skill-based rather than degree-based profession.
The competition is shifting, not vanishing – While some worry about automation, human testers are still critical for exploratory testing, UX evaluations, and edge-case detection.
Skill expectations are growing – Today’s QA professionals are expected to understand both manual and automated testing, with a basic grasp of AI tools.

How We Can Help You Get There

You don’t need prior experience or a tech background to start. Here’s how we prepare you for manual quality assurance jobs:

Manual Testing Fundamentals – Learn how to write test cases, identify bugs, document issues, and perform exploratory testing.
Hands-On Projects – Use real QA tools like TestRail, JIRA, and Postman to simulate real-world testing scenarios.
Intro to Automation – Learn the basics of automation testing using tools like Selenium to future-proof your career.
AI Integration – Discover how to leverage AI tools in your QA workflows.
Career Support – Get help building a resume, preparing for interviews, and finding jobs on platforms like LinkedIn and Indeed.

Key Takeaways

There are currently over 205,000 QA roles in the U.S., with 327,000 more projected by 2033.
Manual testing is still widely used, with 82% of testers relying on it in their day-to-day work.
Salaries for manual QA testers average $82,000/year, with growth potential into hybrid and automation roles.
The market is evolving—but the door is still wide open for newcomers.
With the right training, anyone can land a role in QA—regardless of background.

If you’re ready to start your journey, we’re here to teach you everything you need to succeed in manual QA testing—and beyond.

Performance Testing

Giovanni D — Tue, 30 May 2023 01:37:59 +0000

Performance testing is kind of like a stress test for your software. Imagine you have built a bridge and now you want to make sure it can handle 10,000 cars at the same time without falling apart. Performance testing does the same thing but for your software application.

Here’s how it works: You create a simulation where loads of virtual users start using your software at the same time. This could be anything from clicking buttons, filling out forms, downloading files, or whatever actions real users would do. Then you watch and see how your software handles it.

Does the software start running slowly? Does it crash? Or does it handle everything smoothly? You’re basically trying to find the breaking point of your software and fix any issues before they affect real users.

So, performance testing is essential because it ensures that your software can handle a lot of users at the same time without any problems. It’s all about providing a good and smooth experience for your users, even when your software is under heavy load.

Testing Approach:

Plan and Understand Your Performance Testing Needs: Define the key performance indicators like load time, response time, concurrent users, throughput, and others.
Identify the Test Environment: Understand your production environment, including the hardware, software, and network configurations. Try to mirror this environment for your testing as closely as possible.
Design Your Test Scenarios: Identify the most common or critical user interactions with your software, and design your tests to simulate those scenarios.
Execute the Tests: Use your performance testing tool to simulate users and execute your tests.
Analyze, Tune, and Retest: Review the results, identify bottlenecks, make improvements and retest until you’re satisfied with your software’s performance.

Testing Tools:

Some widely used performance testing tools include:

LoadRunner: A widely used tool that can simulate thousands of users and supports a broad range of applications.
JMeter: An open-source tool that’s great for simulating a load on a server, group of servers, network, or object to test its strength and analyze overall performance.
Gatling: Another open-source performance testing tool, known for its efficiency in testing the load handling of web applications.
Apache Benchmark (ab): A simple command-line tool for benchmarking HTTP servers.

Common Mistakes:

Not testing in a production-like environment: The test environment should closely resemble the production environment for accurate results.
Ignoring the baseline performance: Without understanding the baseline performance of your application, it’s difficult to measure the impact of your changes.
Focusing only on peak load: While it’s important to understand how your application performs under peak load, it’s also important to understand its performance under normal load.

Performance testing can be complex, but with careful planning, a thoughtful approach, the right tools, and attention to best practices, you can effectively ensure that your software performs well under varying load conditions.

Checklists & Mind Maps

Giovanni D — Tue, 09 May 2023 04:56:52 +0000

Checklists

Checklists in software testing are structured lists of items or tasks used to guide and organize the testing process. These checklists help testers ensure that they have covered all essential aspects of a software application, reducing the likelihood of missing crucial test cases or functionalities. They act as a memory aid and provide a consistent and systematic approach to software testing.

Checklists can be classified into different types based on their use cases:

Requirement-based checklists: These checklists are created to validate that all requirements specified in the software documentation have been met, ensuring that the application meets its intended purpose.
Design-based checklists: These checklists focus on the architectural and design aspects of the software. They help identify potential design flaws or inconsistencies and ensure that the application adheres to best practices and design principles.
Code-based checklists: These checklists are used to evaluate the quality of the code, ensuring that it adheres to coding standards, follows best practices, and is free of syntax errors and other issues.
Test case checklists: These checklists are used to ensure that all possible test scenarios have been considered and that the test cases cover all functionalities, boundary conditions, and edge cases.
Test execution checklists: These checklists help testers track the progress of the testing process, ensuring that all test cases have been executed, and that any issues identified during testing have been logged and addressed.

Using checklists in software testing improves the overall quality of the software, reduces the chances of defects, and helps maintain consistency and thoroughness in the testing process.

Mind Maps

Mind maps in software testing are visual representations of the relationships and connections between different elements, concepts, or ideas related to the testing process. They are typically hierarchical, with a central concept at the core, and branches radiating outwards to represent sub-concepts, tasks, or items. Mind maps help testers to organize, analyze, and explore various aspects of the software testing process in a more intuitive and efficient manner.

Some common uses of mind maps in software testing include:

Test planning: Mind maps can be used to visualize the scope of testing, breaking down the application into modules, functionalities, or components. This allows testers to prioritize tasks, allocate resources, and identify potential risks or dependencies.
Test case design: By mapping out different test scenarios, input parameters, and expected outcomes, testers can identify gaps in their test coverage, ensure that all possible combinations are considered, and easily communicate their testing strategy to other team members.
Requirement analysis: Mind maps can be used to represent the relationship between different requirements, helping testers to understand the application’s purpose, identify possible use cases, and ensure that all requirements are adequately tested.
Defect management: Testers can use mind maps to categorize, track, and analyze defects identified during the testing process. This can help them identify trends, prioritize issues, and facilitate communication between the testing and development teams.
Knowledge sharing: Mind maps can be used as a tool for communicating complex ideas, processes, or concepts within the testing team or with other stakeholders. They provide a clear, visual representation of the information, making it easier to understand and remember.

In summary, mind maps in software testing are a powerful tool that helps testers visualize, organize, and communicate various aspects of the testing process, ultimately leading to more effective and efficient software testing.

Regression Testing

Giovanni D — Wed, 03 May 2023 21:50:48 +0000

Regression testing is a type of testing performed to ensure that any modifications, updates, or bug fixes made to a software application do not adversely impact its existing functionality. The primary objective of regression testing is to confirm that previously working features continue to operate as expected after changes have been introduced.

Regression testing should be used in the following scenarios:

New Features or Functionality: When new features or functionality are added to an existing application, regression testing is necessary to verify that these additions do not inadvertently break or interfere with the existing functionality.
Bug Fixes: After fixing a bug, it is crucial to perform regression testing to ensure that the fix does not introduce new issues or cause unintended side effects in other areas of the application.
Software Updates or Patches: When an application receives updates or patches, regression testing helps verify that the changes do not negatively impact the stability, performance, or functionality of the existing features.
Configuration or Environment Changes: If the application’s environment or configuration undergoes changes, such as updates to the operating system, database, or hardware, regression testing can help ensure that the application continues to function correctly in the new environment.
Integration of Third-Party Components: When incorporating third-party components, libraries, or APIs into the application, regression testing is necessary to confirm that these integrations do not cause any conflicts or issues with the existing functionality.

In summary, regression testing should be used whenever changes are made to a software application, whether it is the introduction of new features, bug fixes, updates, or changes to the underlying environment. Regression testing helps maintain the stability and reliability of the software, ensuring that existing features continue to work as expected despite any modifications.

Manual & Automated Testing

Giovanni D — Fri, 28 Apr 2023 23:26:44 +0000

Automated and manual testing are equally important because they address different aspects of the software testing process and complement each other’s strengths and weaknesses. Using both methods in a well-rounded testing strategy helps ensure that the software is thoroughly tested, delivering a high-quality and reliable product to end-users.

Manual Testing

Manual testing is a process in which a tester manually evaluates a software application’s functionality by executing test cases without using any automated tools or scripts. The tester acts as an end-user and checks various aspects of the software, such as its user interface, functionality, and overall user experience, to ensure it meets the specified requirements and behaves as expected.

Manual testing should be used in the following scenarios:

Exploratory Testing: When the application is in the early stages of development, and the requirements are not fully understood or defined, manual testing allows the tester to explore the software and discover potential issues or areas for improvement.
Usability Testing: To assess the application’s user-friendliness, manual testing is crucial, as it allows the tester to put themselves in the shoes of the user and evaluate the overall user experience, including the design, layout, navigation, and ease of use.
Ad-hoc Testing: Manual testing is suitable for ad-hoc testing, where the tester performs unstructured and impromptu tests without any specific test cases or plans. This approach can help identify defects that may not be discovered through formal testing methods.
UI Testing: For applications with complex and frequently changing user interfaces, manual testing is often more effective, as it enables testers to evaluate the visual and interactive aspects of the software, such as colors, font sizes, button placements, and screen layouts.
Test Case Validation: When new test cases are created or updated, manual testing helps to validate their accuracy and effectiveness before incorporating them into an automated test suite.

In summary, manual testing should be used when it is essential to evaluate the software from the perspective of a real user, in situations where the application is in the early stages of development, or when requirements are not yet fully defined.

Automated Testing

Automated testing is a process in which specialized tools, frameworks, or scripts are used to execute test cases automatically, without human intervention. Automated testing helps to ensure consistent results, reduce the time and effort required for testing, and increase test coverage, especially in large and complex software applications.

Automated testing should be used in the following scenarios:

Regression Testing: When software undergoes frequent updates or modifications, automated testing is essential for verifying that existing functionality remains unaffected. Automating regression tests ensures that previously working features continue to function as expected after each update.
Load and Performance Testing: Automated testing is useful for simulating multiple users accessing the application simultaneously or performing stress tests to assess the application’s performance under heavy loads. It helps identify performance bottlenecks and ensure that the application can handle the expected user traffic.
Repetitive Tasks: If a particular set of test cases need to be executed repeatedly or across multiple platforms and configurations, automated testing can save time and effort by running those tests consistently without the need for manual intervention.
Data-driven Testing: When an application requires validation with a large volume of input data, automated testing can be employed to generate and input the required data sets, making the testing process more efficient and less error-prone compared to manual testing.
Smoke and Sanity Testing: Automated testing is useful for conducting smoke and sanity tests during the build and deployment process. It allows for quick verification of critical functionality and ensures that the application is stable enough for further testing.

In summary, automated testing particularly beneficial for regression, load, performance, data-driven, and smoke/sanity testing, as well as for repetitive tasks and testing across multiple platforms or configurations. Automated testing can help improve software quality and reduce the time and effort required for manual testing.

Shift Left Testing

Giovanni D — Fri, 28 Apr 2023 19:43:29 +0000

Hey there, fellow software tester! Let’s talk about something that’s been revolutionizing the way we approach testing – left shift testing!

So what is left shift testing, you ask?

Well, it’s a way of bringing testing to the forefront of the software development process, rather than treating it as an afterthought. Instead of waiting until the end of the development cycle to test the software, left shift testing involves testing early and often, starting as soon as possible in the development process.

Why is this so important?

Because it helps catch defects and issues earlier in the process, when they’re easier and cheaper to fix. By incorporating testing into the development process, we can ensure that software is of higher quality and more reliable, which ultimately leads to happier customers.

There are some common mistakes that can be made when implementing left shift testing.

For example, some teams may focus too much on testing the user interface, rather than testing the underlying functionality. Others may skip important testing steps, such as boundary testing or negative testing.

What are some best practices for left shift testing?

One key principle is collaboration – testers should be working closely with developers and other stakeholders throughout the development process. Another important practice is test automation, which can help speed up the testing process and ensure consistent and reliable results.

It’s also important to focus on risk-based testing, where the most critical and high-risk areas of the software are tested first. And don’t forget about exploratory testing, which can help uncover unexpected issues and provide valuable insights into the software.

Conclusion:

So there you have it – left shift testing is all about bringing testing to the forefront of the development process, catching issues earlier, and ensuring higher quality software. By avoiding common mistakes and following best practices, we can make left shift testing a valuable and effective part of our software testing toolbox.

Why Agile Is So Popular?

Giovanni D — Fri, 28 Apr 2023 05:13:10 +0000

Welcome to the world of Agile! If you’re new to this innovative approach to project management or just looking to brush up on your knowledge, you’ve come to the right place. In this comprehensive blog post, we’ll introduce Agile, compare it to traditional project management, explain its principles, explore team roles and responsibilities, share planning best practices, and highlight the benefits of Agile methodology. Let’s dive in and unlock the potential of Agile!

Introduction to Agile:

Agile is a modern, flexible project management methodology that embraces change and collaboration. It focuses on iterative development and continuous improvement, allowing teams to deliver value to customers faster and more efficiently. Agile has become the go-to choice for many organizations, particularly those in the software development industry.

Agile vs. Traditional Project Management:

Traditional project management typically follows a linear, sequential process (often referred to as the Waterfall model), where each phase must be completed before moving on to the next. In contrast, Agile adopts an iterative approach, with teams working on small, manageable increments and regularly reassessing and adjusting their goals based on feedback and changing requirements.

Agile Principles Explained:

The Agile Manifesto outlines 12 core principles that guide Agile teams in their pursuit of delivering high-quality, valuable products:

Customer satisfaction through early and continuous delivery of valuable software.
Embrace change, even late in the project.
Deliver working software frequently.
Collaborate closely with customers and stakeholders.
Build projects around motivated individuals.
Communicate face-to-face whenever possible.
Working software is the primary measure of progress.
Maintain a sustainable pace of work.
Strive for technical excellence and good design.
Keep things simple and focus on what’s necessary.
Self-organizing teams produce the best results.
Reflect, adjust, and improve regularly.

Agile Team Roles and Responsibilities:

Product Owner: The product owner represents the customer and is responsible for defining, prioritizing, and communicating the product requirements and vision.
Scrum Master: The Scrum Master facilitates the Agile process, removes obstacles, and ensures the team adheres to Agile principles and practices.
Development Team: The development team is a cross-functional group of professionals responsible for designing, building, testing, and delivering the product.
QA Team: quality assurance engineers are responsible for ensuring the quality of software products and applications.

Agile Planning Best Practices:

Define a clear product vision and goals.
Break down work into small, manageable tasks.
Prioritize tasks based on value and urgency.
Estimate effort and time required for each task.
Use a prioritized backlog to manage and track work.
Plan and review work in short iterations, such as sprints.
Continuously reassess priorities and adjust plans accordingly.

Benefits of Agile Methodology:

Faster time to market: Agile teams can deliver value to customers more quickly through iterative development and continuous improvement.
Improved flexibility: Agile’s adaptability makes it easier to respond to changes and evolving customer needs.
Enhanced collaboration: Agile emphasizes teamwork, communication, and collaboration among team members and stakeholders.
Higher customer satisfaction: Agile’s customer-focused approach helps ensure that the final product meets or exceeds customer expectations.
Increased transparency: Regular progress updates and reviews keep stakeholders informed and engaged throughout the project.
Better risk management: Agile’s iterative approach allows for early identification and mitigation of risks.

Conclusion:

Now that we’ve covered the essentials of Agile, including its principles, team roles, planning best practices, and benefits, you’re well-equipped.

The Hidden Benefits Of Software Bugs

Giovanni D — Fri, 28 Apr 2023 04:55:06 +0000

Software bugs are an inevitable part of the development process, and while they can be a source of frustration, they also present valuable learning opportunities. In this blog post, we’ll delve into the world of software bugs, exploring their origins, the role they play in the development process, and how you can harness their potential to improve your software and expand your skillset. Let’s dive in and discover the hidden benefits of these pesky errors!

Understanding Software Bugs: A Necessary Evil

A software bug is an unintended behavior, error, or fault in a program that causes it to produce incorrect or unexpected results. Bugs can arise from a variety of factors, such as programming mistakes, miscommunications between team members, or even hardware issues.

While it’s natural to view bugs as a nuisance, it’s essential to recognize that they are an inherent part of software development. The process of identifying, analyzing, and resolving bugs can help developers gain a deeper understanding of their code, uncover hidden issues, and ultimately create a more robust and reliable product.

The Benefits of Encountering Bugs: Turning Frustration into Opportunity

Enhance Your Problem-Solving Skills: When you encounter a bug, it’s an opportunity to hone your problem-solving abilities. Debugging requires critical thinking, creativity, and persistence – all valuable skills that can be applied to a wide range of professional and personal challenges.
Learn from Your Mistakes: Bugs often arise from errors in your code. By identifying and fixing these issues, you’re gaining valuable insights into your programming habits, allowing you to refine your skills and avoid similar mistakes in the future.
Improve Communication within Your Team: Bugs can be the result of miscommunications between team members. By working together to identify and resolve these issues, you’re fostering a culture of collaboration, enhancing communication, and building trust within your team.
Boost Customer Satisfaction: When you diligently address software bugs and work to improve your product’s performance, you’re demonstrating a commitment to delivering the best possible experience for your users. This can lead to increased customer satisfaction and loyalty.
Foster a Growth Mindset: Embracing the challenges presented by software bugs encourages you to adopt a growth mindset. This mindset, which emphasizes learning and development, can help you become more resilient, adaptable, and successful in all aspects of your life.

To prevent bugs from being released to production environments, there are several best practices that can be followed. These include:

Use code reviews: Code reviews can help identify errors and inconsistencies in software code, ensuring that it meets established standards and best practices.

Implement continuous integration and deployment (CI/CD): CI/CD processes automate the software development pipeline, helping to catch bugs early in the process and prevent them from reaching production.

Use bug tracking and management tools: Bug tracking and management tools can help identify, track, and resolve bugs throughout the software development process.

Establish coding standards and best practices: Establishing coding standards and best practices can help ensure that code is written consistently and in a way that minimizes the risk of bugs.

Conduct regular software updates: Regular updates to software can help address known bugs and vulnerabilities, reducing the risk of bugs being introduced to production environments.

Conclusion:

While software bugs can be a source of frustration, they also offer invaluable opportunities for growth and development. By embracing these challenges and viewing them as a chance to learn and improve, you can transform pesky errors into powerful catalysts for change. So, the next time you encounter a software bug, remember to see it as an opportunity to sharpen your skills, enhance your product, and ultimately, become a better developer.

QA Engineer – Tech Baker

Giovanni D — Fri, 28 Apr 2023 04:51:52 +0000

Imagine you’re baking a cake. You’ve got all the ingredients laid out, the recipe in front of you, and you’re ready to go. But before you start mixing everything together, you want to make sure that each ingredient is up to snuff – the flour isn’t expired, the eggs aren’t cracked, the sugar isn’t clumpy, and so on. That’s kind of like what a quality assurance engineer does – they make sure that every piece of the puzzle is in good shape before the product is released to the public.

So just like how you might sniff the milk to see if it’s gone bad, a QA engineer will run a bunch of tests to make sure that the software or product they’re working on is up to scratch. They’ll check that all the features work properly, that there are no bugs or glitches, and that it’s easy to use. It’s kind of like being a detective, looking for clues and solving problems before they become bigger issues down the line.

Ultimately, the goal of a QA engineer is to make sure that the customer is happy with the product – just like how you want your cake to taste delicious and look pretty. So think of us as the bakers of the tech world, making sure that everything that comes out of the oven is top-notch and satisfying.