Software Product Testing Engineer
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Key skills for this role
About the Role
Design and execute comprehensive testing strategies for software products, including manual and automated testing. Collaborate with developers and product managers to identify and resolve issues.
Key Skills for This Role
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Full-Time
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About The Role
We are seeking a detail-oriented and skilled Software Product Testing Engineer to join our team.
In this role, you will play a crucial part in ensuring the quality, reliability, and performance of our software products by designing and executing comprehensive testing strategies.
You will collaborate closely with developers, product managers, and other stakeholders to identify and resolve issues throughout the product development lifecycle.
If you are passionate about delivering high-quality software and enjoy breaking things to make them better, this is the perfect opportunity for you!
Key Responsibilities
- Test Strategy and Planning: Develop, document, and implement test strategies, plans, and cases to ensure product quality and alignment with business requirements.
- Manual Testing: Conduct thorough manual testing to identify bugs, usability issues, and performance bottlenecks in software products.
- Automation Testing: Design and maintain automated test scripts using tools like Selenium, Appium, or similar frameworks.
- Regression Testing: Perform regression testing to ensure product updates do not introduce new issues.
- Defect Reporting: Identify, log, and track defects using tools such as Jira, Bugzilla, or similar platforms, ensuring timely resolution.
- Performance and Load Testing: Evaluate software performance under various conditions using tools like JMeter or LoadRunner.
- Collaboration: Work closely with development teams to understand system functionality and provide feedback to improve software design and user experience.
- Test Environment Management: Set up and maintain test environments to simulate real-world scenarios effectively.
- Documentation: Create and maintain detailed documentation for test plans, cases, and reports.
Education
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Technical Skills
- Strong understanding of software testing methodologies (e.g., Black Box, White Box, Functional, Non-Functional).
- Hands-on experience with test automation tools like Selenium, Cypress, TestNG, or similar frameworks.
- Familiarity with performance testing tools such as JMeter, LoadRunner, or similar.
- Proficiency in test case management and defect tracking tools (e.g., Jira, TestRail).
- Basic programming knowledge in languages such as Python, Java, or JavaScript for creating automated test scripts.
- Experience with version control systems like Git.
- Understanding of Agile/Scrum development processes.
Experience
- 3–5 years of experience in software testing, quality assurance, or a related role.
- Experience in testing web-based applications, APIs, and mobile applications.
- Knowledge of CI/CD pipelines and how testing integrates into development workflows.
Soft Skills
- Exceptional attention to detail and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
About The Company
Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services.
We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence.
With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization.
Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives.
The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.
Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.
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