Python for test harnesses

API test suites using ReadyAPI or Postman

End-to-end UI testing with Tosca, Selenium or Cypress

CI/CD tools: Git, Jenkins, GitHub Actions

Observability: logs, metrics, traces for quality monitoring

SQL for data validations

AWS services: Amazon Bedrock, SageMaker, Kendra, S3, Lambda, Step Functions, CloudWatch

Vector search technologies: pgvector, OpenSearch

GenAI frameworks: LangChain, LangGraph

RAG pipeline validation and testing

Synthetic data generation and PII redaction/masking

Test automation frameworks and tools

Sharp problem-solving abilities

Strong communication skills

Ability to influence cross-functional squads

Continuous learning mindset

Comfortable navigating evolving models, metrics, and guardrail capabilities

Collaboration and stakeholder management

Knowledge sharing and mentoring capabilities