Software Automation Specialist

Responsibilities

• Design and implement AI-powered quality processes and automation frameworks that go beyond traditional QA methods.
• Build and maintain automations to streamline quality tracking, reporting, and alerting — from smart dashboards to automated reporting pipelines.
• Leverage AI tools and large language models (LLMs) to accelerate root cause analysis, anomaly detection, and incident prediction.
• Track and analyze customer quality incidents, applying AI-assisted techniques to identify patterns, resolve issues faster, and prevent reoccurrence.
• Assist in driving software quality from concept to release delivery using data-driven KPIs and quality targets.
• Explore and introduce emerging AI methodologies to improve the quality mindset across engineering teams.
• Contribute to quality process improvement initiatives and help maintain quality process documentation and records.
• What we need to see
• B.Sc. in Computer Science, Software Engineering, or another relevant technical degree.
• 2+ years of experience in software development, QA, or SW quality roles.

Languages