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Automation Architect : AI-Native QA (26-00469) -

Evolutyz · Location not stated

8080

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  • Open 55 days
  • No location stated

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Automation Architect : AI-Native QA (26-00469) - at Evolutyz. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Summary

Evolutyz is seeking an experienced professional for the role in Visakhapatnam. This role involves leading the automation and AI testing strategy, designing and implementing frameworks, and integrating solutions into CI/CD processes. The candidate will act as a technical leader and client-facing representative.

Responsibilities

  • Own the end-to-end automation and AI testing strategy, including framework selection, architecture, coding standards, and quality gates.
  • Design and lead a Playwright-based automation framework using TypeScript or C#, focusing on modernization and risk prioritization.
  • Implement AI-assisted test engineering with multi-agent test case generation and automated quality judging.
  • Architect automated validation for third-party API data ingestions and batch jobs.
  • Integrate solutions into CI/CD on GitHub Actions and support Bitbucket-to-GitHub migration.
  • Define QA metrics, entry/exit criteria, and ensure all metrics are measurable from tooling.
  • Engage with clients by presenting at governance forums, contributing to business reviews, and mentoring engineers.

Requirements

  • 10 years in QA/test engineering, with 3 years in automation architecture for enterprise web applications.
  • Expertise in Playwright and Selenium, strong knowledge of C#/.NET or TypeScript, and API testing across REST and SOAP.
  • Experience with LLM/AI tooling, including prompt and agent design, and AI-assisted test generation.
  • Fluency in CI/CD processes, particularly GitHub Actions, and SQL for data validation.
  • Proven ability to design QA processes and metrics from scratch.
  • Strong client-facing communication skills.

Required Skills

  • Hands-on experience with Playwright and Selenium.
  • Proficiency in C#/.NET or TypeScript.
  • Practical experience with LLM/AI tools and methodologies.
  • CI/CD expertise, particularly with GitHub Actions.
  • SQL knowledge for data validation.
  • Client-facing communication and presentation skills.

Preferred Skills

  • Experience with AWS Bedrock/OpenRouter or equivalent LLM platforms.
  • Awareness of performance testing tools like JMeter.
  • Knowledge of test data management and synthetic data generation.
  • Exposure to the energy/utilities domain.
  • Experience in managed services or testing-CoE engagements with SLAs.

Benefits

Details about benefits are not specified in the provided content.

Skills

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