4 часа назад
Quality Analyst Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Analyst Engineer (AI) (Test Automation/Fintech): Building automation frameworks and end-to-end quality strategies for a cloud-based commercial pricing and billing platform with an accent on UI, API, data, microservices, and AI-enabled feature validation. Focus on designing CI/CD quality gates, validating model behavior and RAG pipelines, and leading automation practices across distributed AWS systems.
Location: IND BNGL FL2-3 TWR 3, Bangalore, India
Company
is a financial technology company developing mission-critical systems for payments, banking, and investment services.
What you will do
- Design, build, and maintain automation frameworks for UI, API, data, and microservices testing.
- Apply AI-driven techniques for test generation, defect detection, and regression selection.
- Develop observability-based quality metrics and CI/CD quality gates.
- Validate AI/ML-powered features and assess safe, correct model behavior.
- Define end-to-end quality strategies and improve testability with engineering, product, and SRE teams.
- Lead and mentor a quality engineering team through standards, code reviews, and AI-assisted engineering practices.
Requirements
- 7+ years of direct software quality engineering experience, including automation architecture and framework development.
- Hands-on experience with Playwright, Selenium, JUnit/TestNG, Postman, and similar automation tools.
- Experience validating AI-enabled features such as LLMs, anomaly detection, model-driven logic, or generative workflows.
- Knowledge of testing distributed systems, microservices, data pipelines, and cloud environments, preferably AWS.
- Experience integrating automation into CI/CD pipelines and debugging across frontend, backend, and data layers.
- Strong communication, collaboration, analytical, and cross-team influence skills.
Nice to have
- Experience with RAG pipelines, vector stores, guardrail frameworks, model evaluation, or safe AI patterns.
- Experience testing financial systems, billing engines, or analytics-heavy platforms.
- Familiarity with synthetic data generation or statistical validation for AI and data-driven testing.
Culture & Benefits
- Opportunity to work on a fintech product in the core banking and payments domain.
- Professional education and personal development opportunities.
- Time to support charities and contribute to the community.
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