Description
Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
Responsibilities:
- Develop, implement, and maintain comprehensive test plans and test cases.
- Design and execute automated tests using Java/Python to ensure the quality and functionality of our software products.
- Perform manual testing when necessary to validate the functionality and performance of the software.
- Identify, document, and track software defects and inconsistencies.
- Collaborate with cross-functional teams, including developers, product managers, and other stakeholders, to understand requirements and provide feedback on quality issues.
- Ensure that all testing activities are conducted in accordance with the established processes and standards.
Requirements
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum of 2 years of experience in software quality assurance.
- Good imagination to test systems without exhaustive documentation (experience-based testing)
- Excellent analytical and problem-solving skills.
- Strong attention to detail and a commitment to delivering high-quality work.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Nice to have:
- Familiarity with performance testing tools and techniques.
- Knowledge in Java/Python for writing automated tests.
- Solid understanding of software development life cycle (SDLC) and agile methodologies.
- Experience with test automation frameworks such as PyTest, Unittest, or similar.
- Experience with continuous integration and continuous deployment (CI/CD) pipelines.
- Certification in software testing (e.g., ISTQB, CSTE)