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

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

Required Qualifications

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

Preferred Qualifications

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

What We're Looking For

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