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Open nowPosted 10 hours agoWe saw it 9 min after it went up

QA Analyst Lead

Jobgether4,188 open roles

Where
India
Work mode
Remote
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Your applicationOpen nowQA Analyst LeadJobgether · India

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 10 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a QA Analyst Lead based in India.

We are seeking an experienced quality assurance professional to lead testing strategy and champion software quality across a portfolio of generative AI (GenAI) initiatives. In this influential role, you will establish QA standards, strengthen automated testing practices, and embed quality considerations throughout the software development lifecycle. You will work closely with developers, product managers, and engineering leadership to identify risks, improve test coverage, and ensure reliable delivery of innovative AI-powered solutions. Combining strategic oversight with hands-on testing expertise, you will help teams detect issues early and continuously improve their engineering practices. Working in a hybrid environment with international colleagues across India, the UK, and Europe, you will have the opportunity to shape quality culture while contributing to technology that supports the global energy transition.

Accountabilities

  • QA Strategy & Standards: Define, establish, and champion quality assurance standards, testing principles, and best practices across multiple GenAI projects, embedding quality into every stage of the development lifecycle.
  • Requirements Analysis & Test Planning: Analyze product requirements and feature specifications to determine appropriate testing approaches, coverage levels, and validation priorities.
  • Automated Testing Leadership: Oversee the design, organization, prioritization, and delivery of automated test suites across the project portfolio, ensuring effective and maintainable testing practices.
  • Quality Risk Management: Identify and challenge gaps in test coverage, including edge cases, regression risks, integration points, and other potential failure scenarios.
  • Cross-Functional Coaching: Guide developers and product managers in adopting a quality-first mindset, enabling teams to make informed testing decisions and take greater ownership of product quality.
  • Quality Metrics & Reporting: Monitor and communicate test health, coverage metrics, defect trends, and overall quality performance to support continuous improvement and informed delivery decisions.
  • Hands-On Testing & Validation: Develop and execute automated or manual tests when necessary to establish best practices, validate critical functionality, address quality gaps, and unblock delivery.
  • International Collaboration: Partner with engineering leadership and distributed delivery teams across India, the UK, and Europe to align QA practices, coordinate priorities, and maintain consistent quality standards.
  • Professional Experience: At least five years of experience in quality assurance, software testing, test engineering, or a related software delivery discipline.
  • QA Strategy & Test Design: Proven experience defining testing strategies, establishing QA standards, and developing automated testing approaches for cross-functional engineering teams.
  • Automation Frameworks: Hands-on experience with one or more automated testing frameworks, such as Selenium, Playwright, Pytest, or Cypress.
  • Analytical Skills: Strong analytical and problem-solving abilities, with the capacity to understand complex product functionality, identify risks, and determine effective test coverage.
  • Communication & Influence: Excellent communication and interpersonal skills, with the ability to challenge assumptions constructively, influence stakeholders, and promote quality without creating unnecessary friction.
  • Quality Ownership: A proactive approach to identifying gaps, improving testing practices, and encouraging accountability for quality across development teams.
  • AI & Modern Engineering Experience: Experience working with artificial intelligence, generative AI, data engineering, or CI/CD pipeline integration is a strong advantage.
  • International Teamwork: Ability to collaborate effectively with a UK-based Engineering Manager and colleagues across UK and European time zones, with reasonable overlap with UK working hours.
  • Adaptability: Comfortable balancing strategic QA leadership with hands-on testing responsibilities in a fast-moving, innovation-focused environment.
  • Employment Type: Permanent, full-time position.
  • Location: India, with a hybrid working arrangement.
  • Compensation: Competitive salary package; the exact salary range is not specified in the job description.
  • Career Progression: Clear career development opportunities within a global technology organization.
  • Innovative Projects: Opportunities to contribute to cutting-edge GenAI initiatives and help advance technology supporting the energy transition.
  • Professional Impact: A strategic role where your expertise can shape engineering standards, team culture, and software delivery quality.
  • Learning & Development: Access to continuous learning, professional development, and exposure to emerging technologies.
  • International Collaboration: Opportunities to work with engineering and delivery teams across India, the UK, and Europe.
  • Work-Life Balance: Hybrid working flexibility and a team culture that respects personal time.
  • Collaborative Environment: A workplace that values openness, trust, mutual respect, diversity, and inclusion.
  • Healthcare, Retirement & Paid Leave: Specific details regarding healthcare coverage, retirement benefits, and paid leave are not provided in the job description.
  • Accessibility & Inclusion: Reasonable accommodations are available during the recruitment and interview process upon request.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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