About the role
We're looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next-generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defence with unparalleled reliability.
You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.
Responsibilities:
- Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.
- Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.
- Performing functional, regression, performance, scalability and security testing to identify bugs or defects.
- Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.
- Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.
- Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.
- Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.
- Architecting and designing complex, scalable test automation frameworks to optimise CI/CD velocity.
- Ensuring the software meets customer and business requirements by validating the functionality and performance.
- Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.
- Supporting user acceptance testing (UAT) and assisting clients with product validation.
- Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.
Requirements:
- A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field.
- 8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.
- Expertise in manual and automated testing.
- Deep domain expertise in complex system validation and advanced automation practices at scale.
- Proficiency in programming languages like Python to build and run automated test scripts.
- Strong knowledge of software testing methodologies, performance testing tools (e. g., JMeter, k6), and security traffic generation/simulation tools (e. g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators).
- Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.
- Strong communication skills for documenting test results and interacting with cross-functional teams.
- Excellent analytical skills, attention to detail, and problem-solving ability.
- Ability to work independently as well as collaboratively in a team environment.
- A curious mindset with a willingness to quickly learn new technologies and testing tools.
Required Skills and Qualifications:
- Familiarity with cloud-based testing environments (GCP, AWS, Azure).
- Experience with cybersecurity products or cloud services, IDP or Web UI.
The Mindset:
- Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.
- Ownership-Driven: You take initiative, move fast, and deliver outcomes without handholding.
- Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.
- Startup DNA: You excel in fast-moving environments where priorities evolve and impact is immediate.