Senior AI QA Engineer: PlayWright + Python

Luxoft; Bengaluru; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Luxoft is seeking a Senior General QA Engineer to own manual and automated UI, E2E, workflow, and data validation using Playwright and Python. You will build robust test architectures, validate Graph DB relationships, and ensure data consistency across SQL, Graph, and UI through APIs and pipelines.

The role requires 5+ years in C#/.NET test automation, strong Python skills, and experience with Playwright/Selenium, RestSharp/HttpClient, and graph databases.

Qualifications

• 5+ years of experience with C#/.NET test automation.
• 5+ years of Python experience.
• UI automation using Selenium/Playwright.
• API automation with 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).
• Solid understanding of testing methodologies, QA lifecycle, and Agile processes.
• Ability to analyze complex workflows and large datasets.
• Strong communication skills and proactive mindset.

Responsibilities

• Build and maintain Playwright E2E/UI test suites for key user journeys.
• Use Playwright's APIRequestContext for API + workflow testing.
• Create robust, maintainable test architecture and reusable libraries.
• Data validation and analytics logic verification.
• Validate SQL Server data transformations and outputs.
• Run GraphDB queries to verify relationships.
• Ensure data flowing through APIs, SQL, Graph, UI remains consistent.
• Collaborate with backend, data science, and product teams.
• Define regression coverage, test data strategy, and reporting standards.

Skills

C#/.NET test automation

Python

UI automation (Selenium/Playwright)

API automation

Graph databases (SPARQL/Cypher)

SHACL validation

SQL

Iceberg data lakehouse

RAG/LLM QA

CI/CD pipelines (Docker, GitHub/GitLab

QA methodologies & Agile

Data analysis for large datasets

Communication & proactive mindset

Tools

Playwright

Selenium

RestSharp

HttpClient

Docker

GitHub Actions

GitLab

Job description

Project description

Our team is building a next generation capital markets platform that transforms routine manual-heavy analytics and decision making into a proactive, AI driven continuous process. We''re looking for a Senior General QA Engineer who will own manual and automated UI, E2E, workflow, and data validation using Playwright and Python.

Responsibilities

• Automation:
• Build and maintain Playwright E2E/UI test suites for key user journeys
• Use Playwrights APIRequestContext for API + workflow testing
• Create robust, maintainable test architecture and reusable libraries
• Data, Graph Analytics Validation
• Write Python-based validators to check analytics logic
• Validate SQL Server data transformations, calculations, and outputs
• Run GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies
• Ensure consistency of data flowing through APIs SQL/Graph UI
• Quality Strategy
• Collaborate across backend, data science, and product teams
• Define regression coverage, test data strategy, and reporting standards

Skills

Must 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)
• 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.
• Exposure to event-driven workflows or streaming systems
• Experience with reporting tools (Allure, ReportPortal, etc.)
• Experience with ontologies / RDF / semantic data modeling
• Infrastructure as Code understanding (Terraform/CloudFormation basics)