Senior AI QA Engineer: .NET + Python

Luxoft India; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading IT services company is seeking a Senior Automation QA Engineer to design and implement an automated testing framework for a complex AI-enabled capital market compliance platform. The role involves extensive collaboration with various teams to validate API and data workflows, ensuring high standards of quality through strong automation skills in C#/.NET, Python, and experience with CI/CD pipelines. Candidates should have a proactive mindset and a solid understanding of testing methodologies.

Qualifications

• 5+ years strong experience in C#/.NET test automation.
• 5+ years strong Python skills.
• Experience with Graph Databases (Graph DB, SPARQL or Cypher).
• RAG/LLM QA experience including prompt testing and embeddings validation.
• Solid understanding of testing methodologies and Agile processes.

Responsibilities

• Design and implement an automated testing framework.
• Develop and maintain UI automation using Selenium and Playwright.
• Integrate tests into CI/CD pipelines for efficient deployments.
• Analyze requirements and create test plans and cases.
• Collaborate with teams to validate data correctness.

Skills

C#/.NET test automation

Python

Graph Databases

RAG/LLM QA experience

Communication skills

Tools

Selenium

Playwright

GitHub Actions

GitLab

Jenkins

AWS CodeBuild

Job description

We 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: Selenium, Playwright.
• 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.
• Define KPIs for coverage, quality, and regression scope.
• Support test data preparation and environment setup.

Mandatory Skills Description

• Strong experience (5+ years) in C#/.NET test automation
• Strong Python skills (5+ years experience)
• Experience with Graph Databases (Graph DB, SPARQL or Cypher)
• RAG/LLM QA experience (prompt testing, embeddings validation)
• 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 Skills Description

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