Senior AI Driven Test Automation Architect

Hewlett-Packard Enterprise
San Jose, CA, United States
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$120,000.0 - $243,000.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Software Quality Information Systems Continuous Integration Software Debugging
+23 more
Software Design Patterns DevOps Distributed Systems Github Machine Learning Productivity Software Systems Development Life Cycle E2e Testing Software Engineering Test Case TypeScript Enterprise Software Applications Cloud Platform System GitHub Copilot Large Language Models Advanced Reports Gitlab-ci Kubernetes Information Technology Playwright Docker SDET Jenkins

Job description

This role has been designed as ‘Hybrid’ with a requirement that you will work on average 2 days per week from an HPE office., This role will own the architecture and evolution of enterprise-scale automation platforms spanning UI, API, integration, resiliency, and cloud-native validation.

The ideal candidate has successfully designed and implemented automation platforms supporting large-scale enterprise applications and has demonstrated experience applying AI-powered solutions to software quality engineering challenges. You will partner with engineering, DevOps, platform, and AI teams to improve release confidence, reduce validation cycles, and drive predictive quality practices across the SDLC., * Architect and scale enterprise-grade automation frameworks for UI, API, integration, and end-to-end testing using Playwright and TypeScript.

  • Design scalable testing platforms integrated with CI/CD pipelines and cloud-native infrastructure.
  • Partner with platform and DevOps teams to provision scalable test environments using Kubernetes and Docker.
  • Drive shift-left quality practices by embedding automated quality gates early in the software development lifecycle.
  • Build observability-driven testing ecosystems with actionable reporting, diagnostics, and telemetry insights.
  • Lead the adoption of AI-assisted quality engineering practices including: AI-generated test creation, Autonomous test maintenance, Intelligent flaky-test analysis, and Defect prediction and root-cause insights
  • Evaluate and integrate LLM-powered testing solutions, AI agents, and GenAI developer productivity tools.
  • Define standards for automation architecture, framework governance, coding practices, and reusable testing libraries.
  • Mentor engineers and quality teams on modern automation design patterns and AI-enabled testing workflows.
  • Collaborate with engineering leadership to establish organization-wide quality engineering strategy and KPIs.
  • Contribute to architecture reviews, technical documentation, ADRs, and engineering best practices.

Requirements

  • 8+ years of experience in test automation (API & UI), software quality engineering, or SDET roles with strong architectural ownership
  • 3+ years Playwright and TypeScript experience with the ability to design scalable, maintainable automation frameworks from the ground up.
  • 2+ yrs of experience using AI-assisted development tools such as GitHub Copilot or equivalent coding assistants to accelerate test automation and engineering workflows.
  • Hands-on expertise integrating automated testing into CI/CD platforms such as GitHub Actions, GitLab CI, Azure DevOps, Jenkins or equivalent platforms where AI is used to optimize or augment validation workflows and determine release readiness.
  • Expertise with containerization and orchestration technologies including Docker and Kubernetes.
  • Experience and knowledge of cloud platforms such as AWS, Azure, or GCP for automating the provisioning, configuration, and management of scalable test environments
  • Practical experience implementing AI-driven test case generation, including using LLMs to convert requirements/user stories into structured test scenarios and automation scripts.
  • Experience using AI-assisted debugging and failure analysis workflows to improve test reliability and reduce flaky tests.
  • Experience integrating AI/ML capabilities or AI agents into testing and quality engineering workflows.
  • Strong written and verbal communication skills capable of creating technical documentation, architectural guidance, communicating with engineers, architects, and senior leadership.
  • Bachelor’s or Master’s degree in computer science, Information Systems, or equivalent.

Preferred Skills:

  • Exposure to enterprise networking, cloud, or distributed system environments where AI is applied to testing complex systems.
  • Experience in Networking or Security Domain

Benefits & conditions

“The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 120,000 - 243,000 in California The listed salary range reflects base salary. Variable incentives may also be offered.”

About the company

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Apply for this position

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Apply on hpe.wd5.myworkdayjobs.com

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