# QA Engineer – Data, DevOps & AI

**Company**: London Stock Exchange Group (LSEG)
**Location**: IND-BLR-Divyasree Technopolis
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/Quality-Engineer_R0124357-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/qa-engineer-data-devops-and-ai-158d3b62-7ae/

## Description

We are seeking a QA Engineer with strong data-testing and automation capabilities to join the Corporate Data Cloud team. You will assure the quality and reliability of cloud-based data and AI solutions through data validation, test automation, CI/CD integration, and foundational testing of Generative AI and Agentic AI applications.

**Key Responsibilities**

- Design and execute test scenarios and test cases based on business and functional requirements.

- Validate end-to-end ETL/ELT pipelines, data transformations, integrations, and business rules.

- Perform data quality, reconciliation, regression, integration, and large-volume data testing.

- Develop and maintain automated test frameworks using Python, PyTest, Cucumber, or equivalent tools.

- Use advanced SQL and Snowflake to validate data and perform root-cause analysis.

- Integrate automated tests and quality gates into CI/CD pipelines.

- Support Git-based development practices, deployment validation, configuration checks, log analysis, and release verification.

- Test Generative AI solutions for accuracy, relevance, groundedness, consistency, hallucination risk, and guardrail effectiveness.

- Validate Agentic AI workflows, including tool and API interactions, multi-step execution, error handling, retry behaviour, and task completion.

- Create reusable test datasets and automated evaluation checks for data and AI solutions.

- Use AI-assisted approaches to improve test-case generation, automation, defect analysis, and QA efficiency.

- Identify, document, track, and communicate defects, risks, and quality metrics.

- Collaborate with cross-functional teams to improve engineering quality and release outcomes.

**Required Skills and Experience**

- 3–7 years of experience in Data QA, ETL testing, data quality engineering, or test automation.

- Strong SQL skills, including complex queries, joins, aggregations, window functions, and data reconciliation.

- Hands-on experience with Snowflake and data warehouse or data-platform testing.

- Experience in Python-based test automation using PyTest or a similar framework.

- Working knowledge of CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or equivalent.

- Understanding of Git, branching, pull requests, deployment workflows, logging, and monitoring.

- Familiarity with AWS and/or Azure and modern cloud-based data architectures.

- Basic understanding of Generative AI concepts, including prompts, grounding, hallucinations, non-deterministic outputs, and guardrails.

- Basic understanding of Agentic AI concepts, including agents, tools, APIs, orchestration, and multi-step workflows.

- Experience working in Agile delivery environments using Jira or an equivalent work-management tool.

- Strong analytical, troubleshooting, communication, and collaboration skills.

**Benefits** LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.

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## Skills

### Required
- SQL
- Snowflake
- Python
- PyTest
- CI/CD tools
- Git
- AWS
- Azure
- Generative AI
- Agentic AI
- Jira

### Nice to have
- Infrastructure as Code tools
- Docker
- cloud monitoring and observability tools
- AI evaluation frameworks
- AI-assisted test generation

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/Quality-Engineer_R0124357-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)