Eng II, Software Dev Test QE

LPL Financial

Hyderabad

On-site

INR 1,800,000 - 3,000,000

Full time

29 hours ago
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Job summary

LPL Financial's Hyderabad-based Global Capability Center is seeking an experienced QA Engineer to design, build, and scale our QA strategy across web applications, OpenAPI, and data-intensive systems. You will lead test automation, data validation, and AI-assisted testing while ensuring robust CI/CD integration.

You will define testing standards, implement synthetic data strategies, and manage non-production environments using Delphix and AWS services to drive reliable releases.

Qualifications

  • 5+ years of QA experience.
  • Hands-on Playwright for web/API automation.
  • Proficiency with Behave or similar BDD frameworks.
  • Solid SQL skills for data validation.
  • Experience with Delphix or data virtualization/masking.
  • Experience in data synthesis/synthetic test data generation.
  • Knowledge of AWS services and cloud-based test environments.
  • Experience applying AI in QA workflows.
  • Strong SDLC/Agile and CI/CD integration.
  • Excellent communication across teams.

Responsibilities

  • Test Automation Design and maintain Playwright-based UI and API automation frameworks
  • Implement and govern Behave (BDD) test suites with clear Gherkin scenarios
  • Integrate automated tests into CI/CD pipelines with parallel execution
  • Data & Database Testing using SQL across relational/warehouse databases
  • Design test strategies for ETL/ELT pipelines and data migrations
  • Use Delphix for data virtualization, masking, and provisioning test environments
  • Develop synthetic test data strategies for secure, scalable testing
  • Deploy and manage test infrastructure on AWS (EC2, S3, RDS, Lambda, CloudWatch)
  • Leverage AI tools for test case generation and prioritization

Skills

Playwright
BDD frameworks
SQL testing
Delphix
AI in QA
AWS
CI/CD
Communication

Tools

Jenkins
GitHub Actions
GitLab CI

Job description

Where Ambition Meets Innovation At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad. Join us as we create something extraordinary together.

Job Overview:

We are seeking an experienced QA Engineer to define, build, and scale our quality assurance strategy across web applications/openAPI, and data-intensive systems. This role combines test automation leadership, data validation expertise, and modern QA practices—including AI-assisted testing and cloud-native test environments. You will establish testing standards, and ensure reliable releases through robust automation, synthetic test data management, and end-to-end quality coverage.

Responsibilities:
  • Test Automation Design and maintain Playwright-based UI and API automation frameworks
  • Implement and govern Behave (BDD) test suites with clear Gherkin scenarios and reusable step definitions
  • Integrate automated tests into CI/CD pipelines with reliable, parallel execution
  • Data & Database Testing Validate data integrity, transformations, and reporting using SQL across relational and warehouse databases
  • Design test strategies for ETL/ELT pipelines, data migrations, and analytics workloads
  • Use Delphix for data virtualization, masking, and provisioning of non-production test environments
  • Build and manage synthetic test data strategies to support secure, scalable, and repeatable testing
  • Cloud & AI-Enabled QA Deploy and manage test infrastructure on AWS (e.g., EC2, S3, RDS, Lambda, CloudWatch)
  • Leverage AI tools and techniques for test case generation, defect triage, visual regression, or intelligent test prioritization
  • Test AI/ML-powered features where applicable (model outputs, data drift, edge cases, and regression scenarios)

What are we looking for? We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:
  • 5+ years of QA experience
  • Strong hands-on experience with Playwright for web/API automation
  • Proficiency with Behave or similar BDD frameworks (Cucumber, SpecFlow)
  • Solid SQL skills for data validation, query optimization, and test assertions
  • Experience with Delphix or comparable data virtualization/masking platforms
  • Demonstrated experience in data synthesis / synthetic test data generation for complex, privacy-sensitive datasets
  • Working knowledge of AWS services and cloud-based test environment design
  • Experience applying AI in QA workflows (e.g., Copilot-assisted scripting, LLM-based test design, or AI product testing)
  • Strong understanding of SDLC, Agile/Scrum, and CI/CD integration (Jenkins, GitHub Actions, GitLab CI, etc.)
  • Excellent communication skills and ability to influence across technical and non-technical teams
Preferences:
  • Experience testing data platforms (Snowflake, Redshift, Databricks, or similar)
  • Knowledge of API testing tools (Postman, REST Assured, or custom frameworks)
  • Familiarity with performance and load testing (k6, JMeter, Locust)
  • Experience with test management and reporting tools (TestRail, Zephyr, Allure, or similar)
  • ISTQB Advanced or relevant cloud/data certifications
  • Python proficiency (common with Behave and many automation stacks)

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