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Quality Assurance Automation Engineer
2 weeks ago
Role Overview
We are seeking a
highly technical QA Automation Engineer
with deep expertise in
API and backend automation testing
, complemented by
end-to-end functional and performance automation
skills. This role involves
designing, building, and maintaining robust test frameworks
while creating
realistic environments and scenarios
to validate the quality, reliability, and security of our platforms.
A major part of the role focuses on
building automation for cybersecurity product and use cases
, ensuring our solutions meet the highest standards in complex and dynamic environments.
Key Responsibilities
- Design, build, and maintain
scalable API and backend automation frameworks
for a complex cybersecurity system. - Develop and execute
comprehensive automated test suites
for
backend, functional, and performance validation
. - Create
end-to-end test environments and realistic target scenarios
to replicate production-like conditions for accurate testing. - Automate testing for
cybersecurity products and workflows
, including validation of detection, protection, and response mechanisms. - Conduct
performance, load, and stress testing
to validate scalability and robustness of backend systems. - Collaborate closely with
development, DevOps, and product teams
to embed automation within CI/CD pipelines for seamless delivery. - Use
Kubernetes (K8s)
for dynamic environment creation, scaling, and orchestration of test workflows. - Define QA best practices, innovate automation strategies, and
mentor junior QA engineers
as the team expands.
Qualifications
- 3+ years
of experience with
API and backend automation testing
in complex systems. - Proficiency with tools like
Postman/Newman, REST Assured, Playwright, or custom-built frameworks
. - Experience with
programming and scripting
(Go experience is a strong advantage). - Strong expertise in
performance and load testing
tools (e.g., JMeter, Locust, k6). - Proven experience in
building QA automation for cybersecurity products and use cases
. - Solid knowledge of
Kubernetes (K8s)
for managing test environments and workloads. - Ability to
design, deploy, and manage complex test systems and data pipelines
. - Excellent problem-solving skills with a detail-oriented mindset.
- Leadership potential with interest in
mentoring and guiding QA engineers
.
Nice to Have
- Experience with
cloud platforms
(AWS, GCP, Azure). - Familiarity with
GitOps workflows
and advanced CI/CD automation.