Quality Assurance Architect

Skan AI

Bengaluru

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

A leading AI technology firm in Bengaluru is seeking an experienced Quality Assurance Architect to drive excellence in testing and quality leadership. The ideal candidate will have at least 12 years of experience in software testing, focusing on automation and strategic QA architecture. This role requires leading cross-functional teams and implementing innovative quality strategies. This position offers a full-time role with competitive compensation.

Qualifications

Proven track record of excellence in quality assurance leadership.
Minimum of 12 years of hands-on experience in software testing.
Strong expertise in test automation and architecture design.

Responsibilities

Develop and implement comprehensive QA strategies.
Design and architect scalable test automation frameworks.
Lead, mentor, and develop QA engineers and SDET professionals.

Skills

Test automation

Team management

Strategic testing

Quality governance

Risk management

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Selenium

Postman

Jenkins

Docker

Kubernetes

JMeter

Job description

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We are seeking an experienced QA Architect with a proven track record of excellence in quality assurance leadership and strategic testing initiatives. The ideal candidate will have a minimum of 12 years of hands-on experience in software testing with strong expertise in test automation, architecture design, and team management. This role primarily focuses on strategic QA architecture with team leadership responsibilities. You will play a critical role in defining and implementing quality strategies, driving automation initiatives, and leading cross-functional teams to deliver high-quality software products to our customers.

Responsibilities:

QA Strategy & Architecture:

Strategic Planning: Develop and implement comprehensive QA strategies, test methodologies, and quality standards aligned with business objectives and product roadmaps.
Enterprise Test Architecture: Design and architect scalable, maintainable test automation frameworks and testing infrastructure across multiple product lines, platforms, and distributed systems.
Technology Leadership & Innovation: Evaluate, select, and implement advanced QA tools, technologies, and methodologies including AI/ML testing and emerging technology validation frameworks.
Quality Governance & Compliance: Establish quality governance frameworks, compliance standards (SOC2, ISO 27001, GDPR), and regulatory testing requirements across the organization.
Automation Strategy: Lead the design and implementation of enterprise-level automated test solutions, including UI, API, performance, security, and end-to-end testing frameworks with CI/CD integration.
Process Optimization: Establish and continuously improve QA processes, standards, and best practices across the organization, ensuring alignment with agile methodologies and DevOps practices.
Regression Test Suite Strategy: Design and implement comprehensive regression testing strategies, including test suite optimization, test selection algorithms, and automated regression frameworks to ensure product stability across releases.
Quality Analytics & Intelligence: Implement data-driven quality metrics, testing analytics, and quality intelligence dashboards to provide actionable insights for continuous improvement.
Risk Management & Assessment: Conduct comprehensive quality risk analysis, develop mitigation strategies for complex software products, and establish quality gates for release management.
Tool Ecosystem Management: Strategic evaluation, selection, and management of testing tools, third-party services, and costs.
Cross-functional Collaboration: Work closely with engineering, product, DevOps, and customer success teams to integrate quality practices throughout the product development lifecycle.
Team Leadership: Lead, mentor, and develop QA engineers, test automation engineers, and SDET professionals, fostering a culture of quality excellence.
Resource Planning: Manage QA team capacity, skill development initiatives, hiring strategies, and career progression plans.
Performance Management: Conduct performance reviews, set strategic goals, and provide technical and career guidance to team members.
Stakeholder Communication: Present QA metrics, testing progress, quality insights, and strategic recommendations to senior leadership and executive teams.
Budget Management: Oversee QA tools licensing, infrastructure costs and training budgets.

Qualification:

Experience Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum of 12 years of progressive experience in software testing with strong focus on product companies.
Minimum of 8+ years in senior QA roles with architecture and strategic planning responsibilities.
Minimum of 4+ years of people management experience leading QA teams.
Proven track record of scaling QA processes and teams in fast-growing software product organizations.

Technical Expertise:

Strong hands-on experience with test automation frameworks and tools such as Selenium, Cypress, Playwright, Appium, TestNG, Pytest, etc.
Extensive experience with API testing tools and frameworks (Postman, REST Assured, SoapUI, etc.).
Hands-on experience with performance testing tools (e.g. JMeter) and performance engineering practices.
Strong experience with CI/CD integration and DevOps practices using tools like Jenkins, GitLab CI, Azure DevOps, GitHub Actions.
Experience with cloud platforms (Azure) and containerization technologies (Docker, Kubernetes) for testing environments.
Knowledge of database testing, SQL proficiency, and data validation techniques.
Experience with AI Model testing, including model validation, data quality testing, bias detection, and performance evaluation of machine learning models.
Knowledge of AI pipeline testing, MLOps practices, and testing frameworks for AI/ML workflows and model deployment pipelines.
Experience with RPA (Robotic Process Automation) testing and automation tools would be an advantage.
Product testing experience across various domains (AI / ML, Desktop, Web Applications, enterprise software) would be an advantage.

Process & Methodology:

Deep understanding of product development life cycle (PDLC) and agile methodologies (Scrum, Kanban, SAFe).
Experience with test-driven development (TDD), behavior-driven development (BDD), and shift-left testing practices.
Strong knowledge of quality metrics, test planning, risk-based testing, and quality assurance best practices.
Experience with compliance and regulatory testing requirements is a plus.

Leadership & Soft Skills:

Excellent analytical and problem-solving skills with attention to detail and strategic thinking capabilities.
Strong communication and interpersonal skills with ability to work collaboratively across cross-functional teams.
Proven ability to influence and drive change in complex organizational environments.
Experience in mentoring, coaching, and developing technical talent.
Certifications in quality architecture and leadership such as ISTQB Test Manager, Certified Manager of Software Quality (CMSQ), or equivalent architecture/leadership certifications are highly preferred.

Seniority level