Design, build, and maintain automated test frameworks and suites. Execute functional, integration, regression, API, and end-to-end tests for cloud-native distributed systems. Collaborate with Product, Development, and DevOps to ensure quality across SDLC, contribute to test strategy and automation improvements, and validate AI/LLM features where applicable.
Description
Who are we?
Checkmarx is the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO while simultaneously building trust between AppSec, developers, and CISOs. At Checkmarx, we believe it's not just about finding risk but remediating it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders.
We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies, including Siemens, Airbus, Salesforce, Stellantis, Adidas, Walmart, and Sanofi.
Key Responsibilities:
- Design, develop, and maintain automated test frameworks and test suites.
- Execute functional, integration, regression, API, and end-to-end testing.
- Collaborate closely with Product, Development, and DevOps teams.
- Validate cloud-native applications and distributed systems.
- Ensure quality throughout the software development lifecycle.
- Contribute to test strategy, automation improvements, and quality initiatives.
- Participate in AI feature validation and quality assessment where applicable.
Required Skills:
- Strong understanding of QA methodologies, STLC, SDLC, and Agile processes.
- We are looking for candidates with 4-7 years of experience with the following skill set:
- Hands-on experience with test automation using Python.
- Strong experience with Playwright for UI and end-to-end automation.
- Experience testing REST APIs and backend services.
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines and automation integration.
- Exposure to AI/LLM-based applications and AI feature validation.
- Strong analytical, troubleshooting, and communication skills.
- Experience leveraging AI tools and LLM-based applications as part of day-to-day QA workflows
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