From my experience, testers who embrace agility tend to thrive. Engage in cross-functional teams, be proactive in learning new tools, and don’t hesitate to raise your hand when new initiatives come up. It’s also vital to collaborate closely with developers and product teams to understand how digital transformation impacts the product and adapt your testing strategies accordingly.
This myth is something I’ve had to challenge firsthand. The best way to break it is by showing, not telling. Get involved in automation and show how much time and effort you’re saving by coding. Demonstrating that QA contributes to the development process with coding and scripting in automation frameworks will shift this perception.
In addition to core QA skills, prospective AI testers need to understand machine learning algorithms, data science fundamentals, and how AI models work. Learning Python and working with tools like TensorFlow or PyTorch will give testers a strong foundation for testing AI-driven applications.
From my perspective, AI will open more roles in testing. While AI can automate some testing tasks, it also creates new challenges that require human oversight, such as testing AI models for fairness, accuracy, and reliability.
There will always be a need for testers who can interpret results and ensure quality from an ethical and practical standpoint.
To accelerate your career, focus on continuous learning, build a strong network, and be open to new roles and responsibilities. Volunteering for complex projects and embracing change has always helped me gain visibility and new opportunities. Certifications in key areas like automation or performance testing can also fast-track your growth.
Embrace lifelong learning, be adaptable, and take calculated risks. Don’t be afraid to pivot into new technologies or roles, as long as they align with your broader career goals. In my experience, having a roadmap but being flexible with the route is key to navigating career growth successfully.
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Roles in automation, API testing, and cloud-based testing are essential today. For new testers, specializing in automation or security testing offers a solid foundation with long-term career prospects. Testing in areas like mobile applications or performance testing can also give you an edge as these skills are in high demand.
In my career, purpose comes from aligning my work with what I enjoy and where I can make the most impact. Start by reflecting on what aspects of testing you enjoy—whether it’s solving complex problems, ensuring product quality, or collaborating with cross-functional teams. Aligning these interests with your career goals will help you find purpose.
Growth varies from person to person, but in my experience, it’s a continuous process that can take years. However, consistent learning and goal-setting can help you see significant growth within 1-2 years. Don’t rush—focus on building skills and experience gradually.
From personal experience, absolutely. A toxic environment can stifle growth, creativity, and motivation. If you’re in such an environment, it’s important to prioritize your mental health and, if necessary, seek new opportunities that foster learning and collaboration. Toxic environments can derail your career, but you always have the power to pivot.
The best first step is embracing automation. Learn to code and start automating simple tasks in your current role. Beyond that, stay informed about AI, machine learning,