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Home / Jobs / Glean

Quality Assurance Lead

Glean

Bangalore, IndiaPosted 3 months ago
Glean logo

Skill Required

QAJMeterTest AutomationCD pipelinesWeb AccessibilityPostmanEngineeringR ProgrammingPlaywrightServiceNowObservabilitySeleniumsecuritybuildingEmbedded CCypressetc.)TestNGPythondesignGitCI/CDCloudJavaAPIsAWS

Key highlights

  • Hybrid role (4 days/week in Bangalore office)
  • 6-9 years of software testing experience required
  • Expert-level Python or Java skills required
  • Eligible for variable compensation, equity, and benefits

Role overview

Glean is the Work AI platform that helps enterprises work smarter with AI, offering advanced enterprise search, an AI Assistant, and scalable AI agents on a secure, open platform. The company is seeking a Quality Assurance Lead to develop and drive its test automation charter, building frameworks, tools, and infrastructure for efficient, scalable testing. The role involves hands-on technical leadership in automation, performance testing, and CI/CD optimization, with a focus on reliability, maintainability, and speed. The ideal candidate will mentor QA engineers, collaborate with development teams, and ensure high-quality, testable systems in a hybrid work environment based in Bangalore.

Responsibilities

  • Lead the development of test automation frameworks, focusing on reliability, maintainability, and speed
  • Create reusable test libraries and components that can be shared across different product areas
  • Lead technical implementation of performance testing and monitoring solutions
  • Develop custom reporting and analytics tools to provide insights into test coverage and quality metrics
  • Drive adoption of newer testing technologies and approaches (visual testing, accessibility, security, AI-assisted testing, etc.)
  • Provide technical mentorship to QA engineers on automation best practices and framework usage
  • Optimize test execution pipelines for faster feedback in CI/CD environments
  • Implement solutions for test data management and synthetic data generation
  • Partner with development teams to implement shift-left testing practices
  • Lead root cause analysis for critical issues and drive systematic improvements to prevent recurrence
  • Participate in code reviews to ensure testability and quality considerations are addressed early

Requirements

  • 6-9 years of software testing experience with strong focus on automation
  • Expert-level programming skills in Python or Java
  • Deep understanding of testing framework architecture (page objects, custom assertions, reporting integrations)
  • Strong experience with modern testing tools (Selenium, Playwright, Cypress etc) and API testing frameworks
  • Experience building CI/CD pipelines and working with Containers
  • Strong working knowledge of cloud platforms like AWS, GCP
  • Experience with performance testing tools and methodologies
  • Proven track record of building tools and frameworks used by engineering teams
  • Understanding of testing patterns and anti-patterns in automation

Benefits

  • Compensation determined by factors such as location, level, job-related knowledge, skills, and experience
  • Certain roles may be eligible for variable compensation, equity, and benefits

Additional details

  • This role is hybrid (4 days a week in our Bangalore office)
  • Glean is a diverse and inclusive company committed to attracting and retaining a diverse range of people; we do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race
  • AI-First Mindset at Glean: AI fluency is core to how we work; new hires will complete a brief AI-focused exercise or discussion as part of the interview process
  • Global Data Privacy Notice for Job Candidates and Applicants: Data processing is governed by GDPR, CCPA, or other privacy laws depending on location; applicants agree to data processing as outlined in the Privacy Policy
  • US applicants and their applications are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement
  • By submitting an application, candidates confirm they have read and agree to the Global Data Privacy Notice and Applicant Arbitration Agreement

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