Technical QA Engineer - AI Enabled

The AI-enabled Technical QA Engineer is responsible for ensuring production quality through automation, AI-assisted testing, production validation, and reliability engineering practices.

4–8 years of automation testing experience.

Strong API testing expertise.

Experience with automation frameworks.

SQL and data validation experience.

Knowledge of event-driven architectures.

Experience using AI-assisted testing tools.

Strong analytical and debugging skills.

As part of the Site Reliability Engineering (SRE) organization, every team member plays a critical role in maintaining the reliability and availability of our production systems.

This role supports a 24x7 production environment supporting business-critical applications. All engineers are expected to participate in an on-call support rotation, including evenings, weekends, and public holidays as scheduled. During on-call periods, you will be expected to respond to production incidents within defined response time objectives, troubleshoot issues, and work collaboratively to restore service as quickly as possible. Candidates should be comfortable diagnosing complex production issues across applications, cloud infrastructure, databases, messaging systems, and integrations. Participation in post-incident reviews, root cause analysis (RCA), and implementation of permanent corrective actions is an essential part of the role. Team members are expected to continuously improve operational processes through automation, monitoring enhancements, and proactive reliability improvements to reduce recurring incidents. Flexibility to collaborate with globally distributed teams, including occasional overlap with US business hours, is expected to support production operations and major releases. A strong sense of ownership, accountability, and customer focus is essential, as ensuring platform stability and business continuity is a shared responsibility across the entire team.

Employee Type:

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