[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