This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Principal, Quality Engineering Architect based in India.
This is a senior technical leadership role focused on redefining how quality engineering is delivered at scale through AI-driven automation and intelligent testing systems. You will play a pivotal part in shaping enterprise-wide quality strategies, moving beyond traditional testing into autonomous, predictive, and self-healing quality ecosystems. The role involves designing advanced AI-first automation frameworks that integrate seamlessly into modern CI/CD and DevOps pipelines. You will work across distributed engineering teams to embed quality intelligence into every stage of the software lifecycle. This is a high-impact position where innovation, architecture, and hands-on engineering converge. You will influence standards, drive adoption of emerging AI testing practices, and enable faster, more reliable product delivery across complex systems. The environment is highly collaborative, fast-evolving, and deeply focused on engineering excellence and transformation.
Accountabilities
- Lead the architecture and design of AI-driven quality engineering frameworks across UI, API, data, and microservices ecosystems, ensuring scalability, reusability, and enterprise readiness.
- Develop and implement intelligent automation solutions that reduce manual testing effort through AI agents for test generation, execution optimization, and defect analysis.
- Embed AI capabilities into CI/CD pipelines by defining smart quality gates, predictive testing models, and automated feedback loops.
- Design advanced test infrastructure including test harnesses, mock services, and synthetic data generation frameworks to support continuous validation.
- Drive adoption of modern engineering practices such as BDD, TDD, observability-driven testing, and risk-based quality strategies.
- Provide technical leadership across performance, security, scalability, and resilience testing within complex distributed systems.
- Mentor engineering teams and establish governance standards for automation frameworks, coding practices, and AI-enabled QA adoption.
- Collaborate with product and engineering stakeholders to define test strategies, improve testability, and align quality goals with delivery objectives.
Requirements
- 10+ years of experience in software quality engineering with strong expertise in test automation architecture for enterprise-scale systems.
- Proven experience designing AI-powered or advanced automation frameworks using tools such as Playwright, Selenium, Cypress, and REST Assured.
- Strong programming skills in Python, Java, or JavaScript with the ability to build scalable automation and AI-driven testing solutions.
- Hands-on experience integrating AI/ML concepts such as generative AI for test case generation, defect analysis, and test data creation.
- Deep understanding of CI/CD pipelines, DevOps practices, and cloud-native environments (AWS, Azure, or GCP).
- Experience with observability tools, data-driven testing, and analytics-based quality decision-making.
- Familiarity with MLOps concepts, including model validation, drift detection, and AI system testing.
- Strong leadership, communication, and stakeholder management skills with the ability to influence engineering direction.
- Bachelor's degree in Computer Science or equivalent technical discipline.
Benefits
- Competitive compensation aligned with senior engineering leadership roles
- Remote-first flexibility within India
- Opportunity to work on cutting-edge AI-driven engineering transformation initiatives
- Exposure to global-scale enterprise systems and advanced automation ecosystems
- Continuous learning and upskilling opportunities in AI, DevOps, and quality engineering
- Collaborative, innovation-driven engineering culture
- Health and wellness benefits (as per partner company policy)
- Career growth opportunities in architecture and engineering leadership tracks.
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
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
