Senior AI QA Engineer: .NET + Python

Noida, Uttar Pradesh
Permanent
Full-time

1 month ago

Project descriptionWe are looking for a Senior Automation QA Engineer who will design and implement a complete automated testing framework for a complex, data heavy, AI enabled capital market compliance platform aimed at streamlining compliance insights, rules, and workflows. This role focuses on API, data, semantic/graph, and AI workflow validation. You will work closely with backend engineers, data engineers, and ML teams to build a robust automated quality layer across all components of the platform.Responsibilities

Manual Testing
Analyze requirements, acceptance criteria, and specifications for new features.
Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows.
Perform functional, regression, exploratory, and integration testing.
Validate correctness of data transformation, analytical workflows, and large dataset processing.
Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior. Automation
Develop and maintain UI automation using: o Selenium o Playwright
Implement E2E scenarios covering cross-service workflows.
Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS CodeBuild).
Configure test runs in AWS environments (dev/stage).
Participate in root-cause analysis of defects and quality incidents. Quality Engineering
Contribute to QA strategy and test automation roadmap.
Improve test stability, reduce flakiness, optimize runtime.
Define KPIs for coverage, quality, and regression scope.
Support test data preparation and environment setup.

SKILLSMust have

Strong experience (5+ years) in C#/.NET test automation
Strong Python skills (5+ years experience)
UI automation: Selenium / Playwright
API automation: RestSharp / HttpClient
Experience with Graph Databases (Graph DB, SPARQL or Cypher)
SHACL validation experience
SQL proficiency
Experience testing data lakehouse tech (Iceberg)
RAG/LLM QA experience (prompt testing, embeddings validation)
CI/CD pipeline automation (Docker, GitHub Actions/GitLab/Azure DevOps)
Solid understanding of testing methodologies, QA lifecycle, and Agile processes.
Ability to analyze complex workflows and large datasets.
Strong communication skills and a proactive mindset.

Nice to have

Experience with Capital Markets, trading, market data, or financial analytics. • LangChain familiarity • Performance testing (Locust/k6) • Experience with ontologies / RDF / semantic data modeling • Infrastructure as Code understanding (Terraform/CloudFormation basics)

Luxoft

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