Palo Alto Networks NGFW group is looking for a seasoned and accomplished QA/Automation engineer with experience in validating core networking & security features in the QA team to solve interesting problems in the area of L4-7 security.
Requirements
- Practical experience using AI-based tools to accelerate coding, test generation, debugging, and refactoring
- A demonstrated passion for researching and applying innovative, AI-based testing methodologies to improve engineering productivity.
- 10+ years of dedicated QA experience and expert-level proficiency in Python.
- Deep working knowledge of the TCP/IP stack and key application layer protocols (e.g., HTTP, HTTPS).
- Extensive hands-on experience testing network and/or cybersecurity products.
- Familiarity with security domains such as Data Loss Prevention (DLP), post-quantum cryptography or threat detection etc.
- Proven expertise in designing and implementing test frameworks, utilizing commercial test suites, developing custom tools, and driving comprehensive automation strategies.
Responsibilities
- Contribute in all phases of end to end product and solution validation
- Work with different development and quality assurances groups to achieve the best quality
- Suggest and implement improvements to the QA process
- Work with DevOps and the Technical Support teams to troubleshoot customer issues
- Interview, mentor and coach new team members
Other
- Work in a small and fast paced team to solve important customer problems and deliver most impactful results
- Superior problem-solving skills with the ability to distill complex system issues into clear, concise, and actionable bug reports.
- Strong interpersonal and communication skills, with a proven ability to collaborate effectively within and across engineering teams to achieve shared quality goals.
- (Preferred) Hands-on experience with public cloud infrastructure (GCP, AWS, Azure) and CI/CD pipelines (e.g., Jenkins).
- A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical discipline.
