Senior Quality Test Engineer II

LexisNexis Risk Solutions; Gurgaon; On-site; INR 1,600,000 - 2,200,000; Full time

Job summary

LexisNexis Risk Solutions seeks a Senior Quality Test Engineer II to lead QA for our enterprise data lake platform. You will design testing protocols, validate data quality, and apply AI tools to enhance testing efficiency across APIs, UI, data pipelines, and serverless components.

Ideal candidates have 5+ years in automation QA for complex data systems, strong Python/Node.js skills, and experience with CI/CD, microservices, and cloud platforms (AWS, Azure, GCP).

Qualifications

• 5+ years in quality focused automation engineering with a high bar for quality in complex apps and data systems.
• Self-starter with the ability to drive impact with minimal direction.
• Strong programming in Python or Node.js and CI/CD tooling.
• Experience building internal tools, automation scripts and dashboards.
• Solid understanding of microservices, APIs, and backend architecture for internal tools.
• Experience with distributed systems and cloud computing (AWS, Azure, GCP).
• Experience with data-intensive systems (distributed datastores, data lakes/warehouses).

Responsibilities

• Test Automation & Integration: architect and maintain end-to-end testing frameworks across APIs, UI, data pipelines, and serverless apps.
• Testing Protocol Establishment: define best practices for quality metrics across data and application platforms.
• Data Quality and Validation: design/implement frameworks to profile and monitor critical data products.
• AI-leveraged Engineering: use LLMs to accelerate test case generation, documentation, code review, and synthetic data.

Skills

Python

Node.js

CI/CD

APIs

Data quality

Test automation

SQL

AWS

GCP

Distributed systems

Tools

Playwright

pytest

Jest

Great Expectations

Jenkins

GitLab CI

GitHub Actions

Airflow

Datadog

Prometheus

CloudWatch

Job description

Technology
Senior Quality Test Engineer II

A senior Data QA & automation engineer is needed to direct quality assurance activities for the enterprise data lake platform. This position involves developing thorough testing protocols, possessing substantial knowledge in both general and data quality validation, and utilizing AI tools to enhance engineering effectiveness for the team.

Responsibilities

• Test Automation & Integration: architect and maintain end-to-end testing frameworks to support a variety of engineers working across various services (APIs, UI/UX, data pipelines, serverless applications).
• Testing Protocol Establishment: define and inform best practices on maintaining quality metrics across our data and application platforms.
• Data Quality and Validation: design and implement frameworks to help profile, monitor, proactively detect issues with critical data products.
• AI-leveraged Engineering: leverage LLMs to accelerate tasks like test case generation, document creation, code review, synthetic/test data generation.

Requirements

• 5+ years in quality focused automation engineering, with a strong understanding of how to set a high bar for quality for complex applications and data systems
• Self-starter and ability to drive impact with minimal high-level direction
• Strong programming skills in Python or node.js, and CI/CD tools
• Experience building internal tools, automation scripts, and operational dashboards.
• Solid understanding of microservices, APIs, and backend architecture principles to design and develop effective internal tools and operational workflows.
• Experience with distributed systems and cloud computing (AWS, Azure, GCP)
• Has worked with data-intensive systems (distributed datastores, data warehouses/lakes, big data processing)

Preferred Qualifications

• Experience with HIPAA or other compliance-heavy industries
• Experience with infrastructure as code (Terraform, Cloudformation)
• Background in data and analytics

Technical Skills

• Programming: Python, node.js, SQL
• Testing Tools: Playwright, pytest, Jest, great expectations or similar tools.
• Automation: Jenkins, Gitlab CI, Github Actions, Apache Airflow
• Monitoring: Datadog, Prometheus, Cloudwatch

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.