Senior QA Lead - Generative AI & Enterprise Web Platforms

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Senior Quality Engineer to lead testing across Generative AI and Enterprise Web Platforms. This hybrid role requires working from an HPE office about 2 days per week.

You will define risk-based strategies, validate AI models, test React UIs, APIs, cloud deployments, and ensure production quality. Strong leadership and mentoring are expected as part of our quality-focused culture.

Qualifications

• Define risk-based test strategies, quality gates, release criteria, traceability, and measurable objectives across AI, UI, API, cloud, and network layers.
• Evaluate model quality, groundedness, safety, privacy, robustness, tool use, permissions, failure recovery, latency, and cost.
• Validate React interfaces, web standards, accessibility, security, APIs, asynchronous workflows, and enterprise integrations.
• Test AWS deployments, distributed systems, traffic behaviour, scaling, failover, disaster recovery, and adverse network conditions.
• Build reusable Python and pytest frameworks and execute performance, scale, reliability, and end-to-end testing with CI/CD integration.
• Use telemetry, incidents, and user feedback to detect regressions, strengthen coverage, and improve preventive controls.
• Partner across disciplines, use AI-assisted testing responsibly, mentor engineers, and promote shared ownership of quality.

Responsibilities

• Quality strategy and governance: Define risk-based test strategies, quality gates, release criteria, traceability, and measurable objectives across AI, UI, API, cloud, and network layers.
• Generative AI and agent validation: Evaluate model quality, groundedness, safety, privacy, robustness, tool use, permissions, failure recovery, latency, and cost.
• Application and integration testing: Validate React interfaces, web standards, accessibility, security, APIs, asynchronous workflows, and enterprise integrations.
• Cloud, network, and resilience testing: Test AWS deployments, distributed systems, traffic behaviour, scaling, failover, disaster recovery, and adverse network conditions.
• Performance and automation: Build reusable Python and pytest frameworks and execute performance, scale, reliability, and end-to-end testing with CI/CD integration.
• Production quality and continuous improvement: Use telemetry, incidents, and user feedback to detect regressions, strengthen coverage, and improve preventive controls.
• Collaboration and quality leadership: Partner across disciplines, use AI-assisted testing responsibly, mentor engineers, and promote shared ownership of quality.

Skills

Quality strategy

Generative AI

App testing

Cloud testing

Performance testing

Automation

Observability

Team leadership

Security testing

Mentoring

Education

Bachelor's degree in CS/ML/AI

Tools

AWS

Datadog

React

Python

pytest

CI/CD

Job description

Hewlett Packard Enterprise is seeking a Senior Quality Engineer to lead testing across Generative AI and Enterprise Web Platforms. This hybrid role requires working from an HPE office about 2 days per week.

You will define risk-based strategies, validate AI models, test React UIs, APIs, cloud deployments, and ensure production quality. Strong leadership and mentoring are expected as part of our quality-focused culture.