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QA Automation Engineer

About us :

AI EdgeLabs is an AI-powered cybersecurity solution, envisioned and developed by Scalarr to help all industries protect their Edge and IoT infrastructures. Scalarr has been on a mission to proactively protect mobile spaces from fraud since 2016, and thanks to the knowledge and expertise gained in AI and ML, AI EdgeLabs is now a reality.

From product development, research, deployment, implementation, and sales, we’ve designed and built a cybersecurity product from the ground up that exceeds the modern demands of our global clients by delivering the most accurate and effective solutions, both for mobile and Edge/IoT.

Who we’re looking for:

Scalarr is looking for a talented QA Automation Engineer to join our growing team!
You will work closely with Backend and CyberSecurity teams to maintain the high quality of the product for EdgeLabs customers. That participation includes detection quality of the Sensor and ecosystem between Sensor / Backend API, and building test-automation infrastructure including test beds. You will be also responsible for automating/integrating into test infrastructure all the threat-detection algorithms. This role will directly report to the CTO.

For tasks and challenges that will keep you engaged and motivated, read the description below.

Essential position responsibilities:

Conduct production and staging API testing, system validation, automation of daily workloads.
Participate in the creation of the end-to-end test infrastructure for testing cyber-security attacks and product detection quality.
Work closely with DevOps and cyber security teams on building test cluster for cyber security experiments and product validation.
Apply cyber test tools and develop strategies for cybersecurity testing of the internal and external deployments.
Perform system security analysis on systems and/or software to understand and identify cyber vulnerabilities.
Document and communicate test results effectively to technical and non-technical user groups in both written and oral formats.

Required skills:

Analytical skills and problem-solving skills.
Good organization, decision making, and verbal and written communication skills.
Excellent self-initiative and self-motivation with the ability to work under minimal supervision.
Ability to work effectively in small and large team settings to solve complex problems.
Good Knowledge of Linux Operating Systems.
Understanding of network security/engineering.
Web-based application security concepts.
Experience in software development (DevSecOps, Python, Java, etc.).
Experience with Docker or Kubernetes.
Experience using tools like NESSUS, NMap and others.
Experience in cybersecurity testing and/or leading cyber test events.

What we can suggest:

Access to a variety of professional development and mentorship opportunities.
Be part of a global team who is passionate about helping clients.
Work with novel AI/RL algorithms together with Data Science teams.
New and exciting projects with no legacy code; we’re all about cutting-edge technology stacks.
Professional growth in a multicultural and international team.
A competitive salary and benefits package.