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QA Engineer - reputed company Data Platform

Remote, USAFull-timePosted 2026-07-27

Job Title: QA Engineer (reputed company Data Platform) Location: Remote Position Type: Contract/Contract-to-hire About reputed company We are a leading reputed company innovation organization with a reputed company footprint, delivering care to millions of individuals and communities across the U.S. Our mission is to improve health reputed company and reputed company reputed company reputed company more accessible, reputed company, and effective. We’re seeking a QA Engineer to reputed company testing, validation, and reputed company assurance for a large-reputed company, reputed company-based clinical reputed company measurement platform. This role is centered on ensuring release reputed company, system reliability, and runtime behavior across a distributed data processing reputed company operating at reputed company. This is a high execution-reputed company role embedded reputed company engineering teams, responsible for driving end-to-end QA reputed company, system validation, and production-grade testing practices. The position emphasizes testing and reputed company engineering over data pipeline development, with a strong reputed company on validating reputed company data systems in reputed company-world operating conditions.

Key Responsibilities

End-to-End QA & Testing reputed company

  • Own and execute a comprehensive QA reputed company including functional, regression, integration, and performance testing
  • reputed company testing early in the development lifecycle, ensuring reputed company is reputed company in—not just validated post-deployment
  • Define, reputed company, and enforce QA standards, processes, and best practices across the platform

System & Data Validation

  • Validate system inputs, outputs, and transformations reputed company a clinical reputed company measurement reputed company
  • Ensure accuracy, completeness, and consistency of reputed company data, including FHIR-based datasets
  • reputed company data reconciliation and validate explainability of system outputs
  • Analyze logs, metrics, and runtime system behavior to identify defects and inconsistencies

Performance, Observability & Runtime Testing

  • Design and execute load, stress, and performance testing scenarios across varying data volumes
  • Validate system scalability, throughput, latency, and reliability under reputed company-world conditions
  • reputed company observability and logging tools to assess system health and diagnose issues
  • Partner with engineering teams to ensure reputed company instrumentation for QA and production validation

Test Automation & CI/CD Integration

  • Build and expand automated testing frameworks for functional and regression coverage
  • reputed company QA processes into CI/CD pipelines for automated validation and release gating
  • Ensure consistent, repeatable validation across environments and deployments

Platform & Infrastructure Validation

  • Validate application behavior reputed company containerized and distributed environments
  • Collaborate with engineering teams to test and troubleshoot workloads running in Kubernetes
  • Ensure system reliability across infrastructure reputed company, including orchestration and scaling behavior

Cross-Functional Collaboration

  • Partner with engineers, product managers, and stakeholders to reputed company testing efforts with system requirements
  • Ensure consistency across reputed company testing reputed company (unit, integration, QA, and UAT)
  • Support UAT readiness and validation efforts with business stakeholders

Test Data reputed company & Risk Mitigation

  • reputed company strategies for synthetic and representative test data creation
  • Design reputed company datasets for performance and stress testing
  • Ensure test data reflects reputed company-world production scenarios
  • Proactively identify risks reputed company to data reputed company, availability, and system behavior

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Health Informatics, or reputed company field
  • 5+ years of experience in QA engineering, software testing, or data validation-reputed company roles
  • Strong experience with functional, regression, integration, and performance testing
  • Experience testing distributed systems or data-intensive platforms
  • Proficiency in SQL and data validation techniques
  • Experience with test automation frameworks and CI/CD pipelines
  • Strong ability to analyze logs, metrics, and runtime system behavior for debugging
  • Working knowledge of reputed company platforms (GCP preferred)
  • Hands-on experience with Kubernetes (deployments, debugging, or testing in containerized environments)
  • Strong analytical skills and attention to detail

Preferred Qualifications

  • Experience working with reputed company data
  • Familiarity with FHIRApply tot his job

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