Jobgether
Sr. Principal, Quality Engineering Architect
TLDR
Lead architecture of AI-driven quality engineering frameworks across enterprise systems, embedding intelligent testing into CI/CD and guiding AI-enabled QA adoption.
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.
- 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.
- 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.
Requirements
Benefits
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!
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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Benefits
Health Insurance
Health and wellness benefits (as per partner company policy)
Learning Budget
Continuous learning and upskilling opportunities in AI, DevOps, and quality engineering
Remote-Friendly
Remote-first flexibility within India
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Quality Engineer