IND Lead Software Engineer - GCC026

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

: Data Quality &

- Test Automation Engineer

Technology Strategy &
- Enablement (TS&E;) | Hyderabad, India

Location

Hyderabad, India

Employment Type

Full time

Experience Level

5-8 Years

Organization

Technology Strategy &
- Enablement (TS&E;)

Position Overview

We are seeking a Data Quality &
- Test Automation Engineer to join TS&E.; The role combines data-quality engineering, application and API automation, data-lake validation, and generative AI quality engineering to ensure enterprise data, analytics, and AI-generated insights are accurate, reliable, and trusted.

Key Responsibilities

Data Quality &
- Reconciliation

- Design and automate source-to-target reconciliation across source systems, ingestion, relational and non-relational databases, data lakes, AWS DocumentDB, APIs, and presentation layers.
- Validate data lake ingestion, partitioning, schema evolution, file completeness, and downstream consumption across approved AWS and GCP data services.
- Query JSON/document data in AWS DocumentDB or MongoDB-compatible platforms and use SQL to validate relational sources and analytical datasets.
- Validate completeness, accuracy, consistency, timeliness, uniqueness, organizational mappings, metrics, charts, filters, and drill-down results.
- Perform profiling,



anomaly identification, defect triage, and root-cause analysis with Data Engineering and source-system owners.

Test Automation &
- Release Quality

- Design and maintain Playwright-based end-to-end automation for web and API experiences.
- Build API, integration, regression, smoke, negative, and cross-cloud test coverage.
- Create risk-based test plans, cases, traceability, defect documentation, and release-readiness summaries.
- Integrate automated tests and data checks into CI/CD pipelines and establish quality gates.
- Validate React, Node.js, and Python components using team-standard frameworks.

Generative AI Quality &
- Model Monitoring

- Validate AI-generated summaries, explanations, recommendations, and question-and-answer responses against approved source metrics.
- Define and track factual accuracy, groundedness, relevance, completeness, consistency, precision, recall, F1, and other applicable quality measures.
- Execute regression testing across approved model, prompt, retrieval, and configuration changes using benchmark and golden datasets.
- Monitor model and output drift, investigate quality degradation, and document release risk.
- Validate GCP- and AWS-hosted models, agent workflows,



inference endpoints, and supporting services
- GitHub Copilot testing may be included where relevant.

Required Qualifications &

- Skillset

- 5-8 years in quality engineering, test automation, data quality, or a related discipline.
- Hands-on Playwright expertise and Python and/or JavaScript/TypeScript automation skills.
- Experience with source-to-target reconciliation across relational, non-relational, and data-lake platforms.
- Experience querying AWS DocumentDB/MongoDB JSON models and aggregation pipelines; working SQL knowledge.
- Experience testing REST APIs, enterprise integrations, cloud data pipelines, and AWS/GCP services.
- Experience with generative AI evaluation, benchmark datasets, accuracy measures, regression testing, and model/output drift monitoring.
- Experience integrating quality controls into CI/CD pipelines.

Preferred Qualifications

- Experience with S3, Glue, Athena, Lake Formation, Redshift, or comparable GCP data services.
- Experience validating executive analytics and organizational drill-downs.
- Experience with Rally, Clarity, Workday, GitHub, GitHub Copilot, or similar platforms.
- Experience in regulated or audit-driven environments.

Success Profile
- Builds repeatable validation for data flows, applications, and AI-generated insights.
- Identifies defects and model-quality regressions before production.
- Provides clear release assessments and communicates risk in business terms.
- Works effectively across distributed US and Hyderabad teams.

📌 IND Lead Software Engineer (Hyderabad)
🏢 The Hartford India
📍 Hyderabad