[Remote] Lead QA Automation Engineer (Python)

Note: The job is a remote job and is open to candidates in USA. LTM is building a largescale cloud native media content platform that processes massive datasets and powers advanced semantic search capabilities. They are seeking a proactive QA Senior Lead to drive quality assurance across the ecosystem, requiring deep technical expertise in API testing and automation architecture, along with leadership skills to mentor a team and collaborate with cross-functional leadership.

Responsibilities

• Lead and mentor a team of QA engineers
• Define the overall QA strategy
• Champion shift left practices in the SDLC
• Align quality goals with Product Engineering and DevOps stakeholders
• Own the testing strategy for the complete data lifecycle
• Validate push/pull ingestion workflows, scheduled jobs, and complex consumption endpoints
• Validate millions of JSON records using AWS S3, Athena, SQL, and Glue Crawlers
• Ensure the accuracy of metadata mappings, date logic, and licensable filtering across multiple publications
• Design and maintain scalable automation frameworks using JavaScript Jest or Python Pytest
• Integrate API automation and JSON schema validation into CICD pipelines
• Design and execute high-scale load tests using Locust
• Analyze system bottlenecks to ensure optimal API latency and semantic search throughput
• Build and monitor dashboards to track system health
• Create and maintain high-quality Confluence documentation for test strategies, edge cases, and performance reports
• Validate AI-powered features including embedding generation and vector-based retrieval in OpenSearch
• Pioneer LLM-based automated test case generation and establish frameworks to validate semantic accuracy
• Architect automated ephemeral test environments and implement contract testing or service virtualization
• Test event-driven streaming systems and leverage knowledge of Docker and Kubernetes for test deployments
• Work with and validate complex data models in Vector and Graph databases

Skills

• Proven track record as a QA Lead/Senior QA Engineer managing complex distributed systems and large-scale ETL/Data pipelines
• Deep proficiency in JavaScript and/or Python for backend and API automation REST JSON validation
• Expertise in the AWS ecosystem S3 Lambda API Gateway ECS ALB SQS SNS Athena and OpenSearch Elasticsearch
• Hands-on experience with load testing tools Locust and modern CICD pipelines
• Strong analytical thinking excellent cross-functional communication and a proven ability to mentor teams and debug complex production issues in dynamic environments
• Validate AI-powered features including embedding generation AWS Bedrock Cohere and vector based retrieval in OpenSearch
• Pioneer LLM-based automated test case generation and establish frameworks to validate semantic accuracy
• Architect automated ephemeral test environments and implement contract testing or service virtualization
• Test event-driven streaming systems and leverage knowledge of Docker and Kubernetes for test deployments
• Work with and validate complex data models in Vector and Graph databases

Benefits

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Health Care Spending Account
• Short Term and Long-Term Disability Coverage
• Life Insurance
• Annual vacation and other Paid Leaves
• Maternity Leave Top Up Pay
• Annual performance-based bonus
• Sales incentive pay
• Other forms of bonus or variable compensation

Company Overview