Technical QA Engineer - AI Enabled

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

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

• →Design and implement automated API test frameworks.
• →Develop production regression suites.
• →Validate production releases before and after deployment.
• →Use AI tools to generate test cases and improve test coverage.
• →Detect anomalies using logs, metrics, and production telemetry.
• →Validate event streams and business data.
• →Collaborate with engineering teams during production incidents.
• →Continuously improve quality engineering processes.

• 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.

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