This role requires a strong background in test automation, data validation, cloud-native environments, and performance testing.

The ideal candidate will be responsible for defining QA strategies, building scalable automation frameworks, validating end-to-end data flows, and ensuring the reliability, scalability, and quality of modern distributed applications.

Key Responsibilities

• Define and execute QA strategies for complex distributed systems and data-driven applications.
• Design, develop, and maintain automated test suites for APIs, backend services, and data pipelines.
• Validate end-to-end data flows, including data ingestion, processing, storage, and API consumption.
• Perform API testing, including REST API validation, schema validation, and contract verification.
• Validate distributed service interactions and compatibility across evolving microservice architectures.
• Test asynchronous and event-driven systems, including retries, dead-letter queues (DLQs), idempotency, ordering, and eventual consistency scenarios.
• Execute load, stress, and performance testing to ensure system scalability and reliability.
• Integrate automated testing into CI/CD pipelines and release processes.
• Investigate and troubleshoot complex production issues in collaboration with engineering teams.
• Mentor QA engineers and promote quality best practices across the organization.
• Collaborate closely with developers, product teams, and stakeholders to ensure high-quality releases.

Required Qualifications

• 7+ years of experience as a Senior QA Engineer working with complex distributed systems and/or ETL/data pipelines.
• Strong experience testing APIs, including REST APIs, JSON validation, and schema validation.
• Hands-on automation experience using JavaScript/Jest and/or Python/Pytest.
• Experience defining QA strategies and mentoring QA engineers.
• Proven experience validating end-to-end data workflows, including ingestion, processing, storage, and API exposure.
• Strong AWS experience, including:
  • S3
  • Lambda
  • API Gateway
  • ECS
  • ALB
  • SQS/SNS
  • Athena
• Experience working with OpenSearch and/or Elasticsearch.
• Load and performance testing experience, preferably using Locust.
• Experience integrating automated testing into CI/CD pipelines, ideally using AWS CodeBuild.
• Strong analytical and debugging skills with the ability to diagnose complex production issues.
• Experience validating distributed service contracts and API compatibility across microservices.
• Experience testing event-driven and asynchronous architectures.
• Experience designing scalable parallel automation frameworks for high-volume APIs and distributed environments.

Preferred Qualifications

• Experience validating AI-powered or semantic search functionality.
• Experience testing:
  • Search relevance
  • Ranking quality
  • Semantic accuracy
  • Retrieval consistency
• Familiarity with embeddings, vector search, AWS Bedrock, or Cohere.
• Experience leveraging LLMs for test case generation.
• Contract testing and/or service virtualization experience.
• Docker and Kubernetes knowledge.
• Experience working with event streaming or event-driven platforms.
• Experience with vector databases or graph databases.
• Experience building monitoring dashboards using New Relic or OpenSearch.
• Experience validating:
  • Access control mechanisms
  • Tenant isolation
  • Metadata security
  • Data governance policies

What We're Looking For

• Strong ownership mentality and attention to quality.
• Ability to work independently in fast-paced environments.
• Excellent communication and collaboration skills.
• Passion for automation, scalability, and continuous improvement.
• Ability to balance technical depth with business impact while ensuring high-quality software delivery