QA Senior Lead:

 Project Background Position Overview

- We are building a large-scale cloud-native media content platform that handles end-to-end data ingestion.
- processing and consumption APIs for millions of media assets: articles, videos, and audio This system
- processes massive datasets of 100 GB and powers advanced keyword category and AI-driven semantic

search capabilities:

- We are seeking a proactive QA senior lead to drive quality assurance across this entire ecosystem. This role requires deep technical expertise in API testing, data validation, and automation architecture combined with leadership skills to mentor a team, implement shiftleft strategies, and collaborate with cross-functional leadership to deliver highly reliable distributed systems.

Roles and Responsibilities:

Mandatory Responsibilities:

- QA Leadership Strategy Lead and mentor a team of QA engineers. Define the overall QA strategy, champion shift-left practices in the SDLC, and align quality goals with product engineering and DevOps stakeholders.
- EndtoEnd API Pipeline QA Own the testing strategy for the complete data lifecycle. Ingestion Processing Storage API Exposure Validate push-pull ingestion workflows. SNSSQS scheduled jobs and complex consumption endpoints, keyword category, and semantic search APIs.
- Large-Scale Data Validation Validate millions of JSON records using AWS S3 Athena SQL and Glue Crawlers ensures the accuracy of metadata mappings, date logic, and licensable filtering across multiple publications.
- Automation Framework Architecture Design and maintain scalable automation frameworks using JavaScript, Jest, or Python, Pytest Integrate API automation and JSON schema validation into CICD pipelines AWS CodeBuild with comprehensive reporting




- Performance Load Testing Design and execute high-scale load tests using the Locust Analyze system bottlenecks ALB ECS downstream services to ensure optimal API latency p95p99 and semantic search throughput.
- Observability Documentation Build and monitor dashboards. Current Relic OpenSearch to track the system health Create and maintain high-quality Confluence documentation for test strategies, edge cases, and performance reports.
- Optional Future-Focused Responsibilities Nice to Have
- AI Semantic Search System Validation Validate AI-powered features, including embedding generation with AWS Bedrock, Cohere, and vector-based retrieval in OpenSearch.
- AIDriven QA Innovations Pioneer LLM-based automated test case generation and establish frameworks to validate semantic accuracy.
- Advanced Test Infrastructure Architect automated ephemeral test environments and implement contract testing or service virtualization.
- Container Streaming QA Test event-driven streaming systems and leverage knowledge of Docker and Kubernetes for test deployments
- Advanced Database Validation Work with and validate complex data models in Vector and Graph databases.

Required Skills Qualifications:

- Experience proven track record as a QA Lead/Senior QA Engineer managing complex distributed systems and large-scale ETL data pipelines.
- Automation Deep proficiency in JavaScript and/or Python for backend and API automation REST JSON validation.
- Cloud Infra Expertise in the AWS ecosystem S3 Lambda API Gateway ECS ALB SQSSNS Athena and OpenSearchElasticsearch.
- Testing Tools Hands-on experience with load testing tools Locust and modern CICD pipelines.
- Soft Skills Strong analytical thinking, excellent cross-functional communication, and a proven ability to mentor teams and debug complex production issues in dynamic environments

Skills:

Mandatory Skills :

API/Microservices RestAssured Testing

Pay: ₹400,000.00 - ₹800,000.00 per year

Work Location: In person

📌 QA Senior Lead (Contract/FTE) (Kolkata)
🏢 Litrol Well Care
📍 Kolkata