QA Architect

Job Title: QA Solution Architect

Location: Bangalore (Hybrid Mode) 

Type: FullTime Permanent

About the Role: We are seeking a visionary Senior Quality Engineer to lead and expand our quality engineering initiatives the strategic direction technical leadership and continuous improvement of our quality engineering services. This role combines strategic oversight technical leadership and innovative approaches to quality engineering and quality assurance across the organisation. As a key influencer you will drive the development and implementation of quality engineering best practices automated & performance testing frameworks and advanced quality methodologies across enterprisescale projects. This position offers an exciting opportunity to shape the future of quality engineering through both traditional practices and emerging AIdriven approaches.

Key Responsibilities:

Strategic Implementation

• Define Quality Engineering Strategy: Establish a comprehensive quality strategy that covers all stages of the software lifecycle aligns with agile and DevOps methodologies and integrates both functional and nonfunctional testing approaches.
• Process Standardization: Standardize quality engineering practices across the organization setting guidelines for automation performance and security testing and ensuring adherence to best practices.
• Resource Allocation: Collaborate with senior leadership on budgeting resource planning and tool selection to support the scaling of quality engineering practices across different clients.

Innovative Development

• Tooling & Automation: Lead the selection customization and deployment of test automation tools (e.g. Selenium WebDriverIO Playwright Cypress and Robot Framework) to enhance efficiency and effectiveness of quality processes.
• Performance Engineering: Oversee the implementation of performance testing using tools like Locust JMeter and K6 integrating monitoring solutions such as Grafana and Prometheus for comprehensive performance analysis.
• DataDriven Insights: Implement data visualization and reporting tools such as PowerBI to generate actionable insights on quality metrics test coverage and product reliability.
• AI & Machine Learning Initiatives: Lead the exploration and integration of AIdriven quality engineering solutions including predictive analytics for defect detection intelligent test automation and anomaly detection. Leverage frameworks and tools like OpenAI LangChain and custom machine learning models to develop advanced testing scenarios automate repetitive tasks and gain insights from data patterns. Collaborate with data science teams to identify and implement machine learning models that enhance test accuracy and efficiency.

Deep Technical Expertise

• Technical Stack Expertise: Leverage expertise in languages such as Java JavaScript C# Python NodeJS and frameworks such as React and Django to provide technical guidance and support quality initiatives across a variety of technology stacks.
• Cloud & DevOps Integration: Integrate quality engineering processes within CI/CD pipelines using Azure DevOps Jenkins GitHub Actions or Concourse streamlining testing within DevOps workflows. Utilize Kubernetes Docker and K9s for environment management and deployment.
• Database Proficiency: Lead quality engineering strategies for database systems including PostgreSQL MySQL MongoDB and ChromaDB ensuring data accuracy and application performance.

Strategic and Technical Advisory

• Quality Standards Advisory: Act as a strategic advisor to crossfunctional teams ensuring quality engineering best practices are embedded into project planning risk management and development processes.
• Metrics & KPIs for Quality: Define monitor and analyze KPIs including defect density test coverage and test efficiency to continuously enhance product quality.
• Risk Assessment & Compliance: Identify and mitigate quality risks ensuring compliance with industry standards and regulatory requirements.

Mentorship and Leadership

• Team Development & Mentorship: Build and mentor the quality engineering team fostering a culture of continuous learning technical excellence and accountability.
• Stakeholder Communication: Regularly communicate quality engineering goals progress and challenges to senior leadership ensuring alignment between quality objectives and organizational strategy.
• Talent Acquisition & Management: Oversee recruitment and performance management for the quality engineering team assembling a highperforming team focused on quality and innovation.

Autonomy and Empowerment

• Empowerment & DecisionMaking: Enable teams to make autonomous informed decisions on quality engineering strategies creating a culture of ownership and accountability.
• Innovation Culture: Encourage experimentation and adoption of emerging quality engineering methodologies tools and technologies promoting a mindset of continuous improvement.
• Continuous Optimization: Lead retrospectives and postmortems ensuring ongoing optimization of quality engineering practices to adapt to business and technological changes.

Qualifications :

• Programming & Frameworks: Proficiency in Java JavaScript C# Python NodeJS React and Django.
• Test Automation Tools: Expertise with Selenium WebDriverIO Playwright Cypress and Robot Framework.
• Performance & Monitoring Tools: Experience with Locust JMeter K6 Grafana Prometheus and PowerBI for performance testing and data visualization.
• CI/CD and DevOps Tools: Proficient in Azure DevOps Jenkins GitHub Actions and Concourse.
• Database Systems: Strong knowledge of PostgreSQL MySQL MongoDB and ChromaDB.
• Testing Frameworks: Skilled in Jest Junit Nunit Xunit MS Test Pytest and TestNG for unit and integration testing.
• Test Management Tools: Experienced with Jira Confluence TestRail HP ALM Zephyr and Xray.
• Containerization & Orchestration: Proficient with Azure CCS Kubernetes Docker and K9s for container management.
• AI/ML Technologies: Knowledge of AI and machine learning tools and frameworks including OpenAI LangChain TensorFlow and scikitlearn with experience in integrating machine learning models into testing workflows to improve quality predictions test coverage and efficiency.

Soft Skills:

• Strategic Vision: Ability to establish a quality engineering vision that aligns with both technical and business goals.
• Analytical & ProblemSolving: Strong analytical mindset with a proactive approach to resolving quality issues and optimizing processes.
• Collaboration & Communication: Excellent communication skills for effectively engaging with both technical and nontechnical stakeholders.
• Adaptability: Highly adaptable to changing priorities with a focus on fostering a culture of continuous improvement.
• Leadership & Mentorship: Proven ability to lead mentor and inspire a team of quality engineers promoting a culture of accountability and technical excellence.

Additional Information :

Why Join Us

• Work in a dynamic and rapidly evolving field.
• Lead a talented and diverse team of security professionals.
• Competitive compensation benefits and growth opportunities.
• Make a significant impact on the organizations overall security posture.

Remote Work :

No

Employment Type :

Fulltime