24334 - System Test Automation

QualityAI is the leading AI-first quality engineering company. We deliver end-to-end quality management services across the business and technology life cycle for enterprise customers who need certainty at Go-Live. 

We build and test services and products using AI, working across data, models, platforms, devices, and infrastructure to ensure those systems perform as expected at scale. 

We’re Hiring: an Automation QA Engineer based in Haifa, full-time 

We are looking for an experienced Automation QA Engineer to join a development team working on complex software systems for manned and unmanned aerial platforms.

The role involves testing a multi-component system that integrates cloud services, distributed software components, and interfaces with numerous external systems, all within an advanced, tech-driven environment.

Responsibilities

• Design, develop, and maintain automation testing infrastructures and scenarios.
• Perform End-to-End testing for complex software systems with multiple interfaces.
• Conduct integration testing across services, software components, and external systems.
• Analyze failures, logs, and system behavior in a distributed environment.
• Work closely and continuously with Software, System, and DevOps teams.
• Utilize AI/LLM-based tools as part of testing, development, troubleshooting, and automation workflows.

Requirements

• 3–5 years of experience in software testing and automation.
• Hands-in experience in developing and running automated tests.
• Experience in testing complex, distributed software systems.
• Experience in Cloud / Cloud-native environments.
• Significant experience in testing systems with multiple interfaces and integrations.
• Strong troubleshooting skills and end-to-end system understanding.
• Hands-on experience working with AI/LLM-based development and QA tools.
• Ability to work independently as well as part of a multidisciplinary development team.

Advantages 

• Experience with Docker / Kubernetes.
• Familiarity with CI/CD processes.
• Experience in setting up, installing, and maintaining cloud environments.
• Good familiarity with Linux / Windows.
• Knowledge of networking, communications, and distributed services.
• Experience in DevOps or IT/Infrastructure work.
• Experience in Command & Control systems, autonomous systems, UAVs, or real-time systems.