Quality Automation Lead

Artex Risk Solutions

Pune District

On-site

INR 4,000,000 - 6,500,000

Full time

12 days ago
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Job summary

Artex Risk Solutions seeks an experienced QA Automation Architect to define, design, and scale enterprise-grade automation solutions across web, API, and data platforms. This hands-on leader will own automation architecture and partner with Engineering, DevOps, and Product teams to ensure quality at scale.

The role requires deep expertise in automation frameworks, CI/CD, and cloud environments (AWS/Azure/GCP), with a track record of guiding large distributed systems while juggling multiple

Qualifications

  • Bachelor's degree in CS or related field.
  • 10+ years in Software Quality Engineering with 4+ years in senior automation/architect roles.
  • Hands-on experience building and scaling automation frameworks and strong Agile/CI/CD delivery experience.
  • Experience testing cloud-native applications (Azure, AWS, GCP) and data pipelines.
  • Knowledge of AI in testing and monitoring tools.
  • Excellent leadership and communication skills for cross-team collaboration.

Responsibilities

  • Define and own the automation architecture across web, API, and data platforms.
  • Lead automation strategy for functional, regression, integration, and non-functional testing.
  • Collaborate on End-to-End testing and introduce AI into automation testing.
  • Design, implement, and evolve automation frameworks using Selenium, Playwright, Cypress, AccelQ, PyTest.
  • CI/CD & DevOps integration: automate test suites in pipelines (Jenkins, GitHub Actions, Azure DevOps).
  • Provide technical leadership and mentor QA engineers and automation developers.

Skills

Automation Architecture
QA Leadership
CI/CD
AI in Testing
Distributed Systems
Test Strategy
Mentoring

Education

Bachelor's degree in Computer Science / Software Engineering / Information Systems

Tools

Selenium
Playwright
Cypress
AccelQ
PyTest
Postman
RestAssured
SoapUI
JMeter
LoadRunner
Azure DevOps
Jenkins
GitHub Actions
Git

Job description

Job Summary

We are seeking an experienced QA Automation Architect to define, design, and scale enterprise-grade automation solutions across web, API, and data platforms. This role provides technical ownership of automation architecture and partners closely with Engineering, DevOps, and Product teams to ensure high-quality, scalable, and reliable software delivery. The ideal candidate is a hands-on technical leader with deep expertise in automation frameworks and CI/CD integration, Cloud environments using AWS, Azure, or GCP, capable of influencing quality practices across large, distributed systems while handling multiple initiatives in a cross-functional environment.

Responsibilities
  • Automation Architecture & Strategy Define and own the automation architecture across web, API, and integration layers. Design scalable, maintainable, and reusable test automation frameworks aligned with product architecture. Establish automation standards, patterns, and best practices across teams. Lead automation strategy for functional, regression, integration, and non-functional testing.
  • E2E Tests Collaborate on non-functional testing aspects. Bring in Automation first mindset Introduce the usage of AI into Automation Testing capability.
  • Framework Design & Implementation Design, implement, and evolve automation frameworks using tools such as: Selenium, Playwright, Cypress, AccelQ, PyTest, Querysurge etc. Ensure framework scalability, reliability, and ease of adoption across teams. Drive shift-left testing practices and improve test coverage early in the SDLC.
  • CI/CD & DevOps Integration Integrate automated test suites into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Enable parallel execution, environment-based testing, and reporting within pipelines. Collaborate with DevOps teams to optimize test execution and pipeline stability.
  • API & Performance Testing Define and implement API automation strategies using Postman, ACCELQ, RestAssured, SoapUI, or equivalent. Provide architectural guidance for performance and load testing using JMeter, LoadRunner, or similar tools. Ensure performance benchmarks and quality gates are enforced before production releases.
  • Technical Leadership & Collaboration Act as a technical mentor and advisor to QA engineers and automation developers. Review automation code, framework designs, and test strategies. Partner with engineering, product, and architecture teams to align quality goals with business objectives. Participate in release planning and quality risk assessments.
Qualifications
  • Education: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience).
  • Experience: 10+ years of experience in Software Quality Engineering. 4+ years in a senior automation, architect, or principal-level QE role. Extensive hands-on experience building and scaling automation frameworks. Strong experience in Agile/Scrum and CI/CD-driven delivery environments. Experience working within Agile/Scrum environments.
  • Technical Skills: Automation tools: Selenium, Playwright, Cypress, AccelQ, PyTest; Programming languages: Java, Python, JavaScript, or equivalent; API testing: Postman, RestAssured, SoapUI; Knowledge of implementing & leveraging AI in Testing; Performance testing: JMeter, LoadRunner; CI/CD tools: Azure DevOps, Jenkins, GitHub Actions; Version control: Git; Strong understanding of: Test architecture patterns, Microservices and distributed systems, DevOps and shift-left testing practices; Experience testing cloud-native applications (Azure, AWS, GCP); Exposure to monitoring/observability tools (e.g., AppDynamics); Experience validating data pipelines or BI reports (Power BI, Tableau).
  • Soft Skills: Strong leadership abilities and a collaborative mindset. Excellent problem-solving and analytical skills. Clear communication skills, both written and verbal. Ability to influence quality culture across engineering teams.
  • Preferred Qualifications: QA or testing certifications (ISTQB, CSTE, CSQE, etc.). Experience with AI/ML-based testing tools. Experience of working on automation for enterprise-based products like SAP, Workday etc. Experience in Human Resource Management applications or projects domain.
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