Senior AI QA Engineer: PlayWright + Python + LLM

Luxoft India; Hyderabad; On-site; INR 1,500,000 - 1,800,000; Full time

Job summary

A technology firm in Hyderabad is seeking a Senior General QA Engineer to lead manual and automated validations using Playwright and Python. The ideal candidate will have over 6 years of Automation QA experience, solid Python skills, and the ability to work with complex data-driven systems. Strong knowledge of testing methodologies, Agile processes, and communication skills are essential. Join us to drive the future of capital markets through cutting-edge technology.

Qualifications

• 6+ years in Automation QA.
• Strong hands-on experience with Playwright.
• Solid Python skills for data/logic validation.
• Experience testing data-heavy, analytical systems.
• Ability to query Graph Databases.

Responsibilities

• Own manual and automated UI, E2E, workflow, and data validation.
• Analyze complex workflows and large datasets.

Skills

Automation QA

Playwright (TypeScript or Python)

Python for data validation

Graph Databases (SPARQL/Cypher)

Test design and debugging

E2E architecture understanding

Communication skills

Job 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

• 6+ years in Automation QA
• Strong hands‑on experience with Playwright (TypeScript or Python)
• Solid Python skills for data/logic validation
• Experience testing data‑heavy, analytical, or workflow‑driven systems
• Ability to query Graph Databases (SPARQL/Cypher)
• Strong understanding of test design, debugging, and E2E architecture

Mandatory Skills

• 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

• 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)