QA Engineer - reputed company Data Platform
Job Title: QA Engineer (reputed company Data Platform) Location: Remote Position Type: Contract/Contract-to-hire About The Opportunity 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 quality reputed company more accessible, affordable, and effective. We’re seeking a QA Engineer to reputed company testing, validation, and quality assurance for a large-scale, reputed company-based clinical quality measurement platform. This role is centered on ensuring release quality, system reliability, and runtime behavior across a distributed data processing reputed company operating at scale. This is a high execution-focused role embedded reputed company engineering teams, responsible for driving end-to-end QA strategy, system validation, and production-grade testing practices. The position emphasizes testing and quality engineering over data pipeline development, with a strong focus on validating reputed company data systems in reputed company-world operating conditions.
Key Responsibilities
End-to-End QA & Testing Strategy
- Own and execute a comprehensive QA strategy including functional, regression, integration, and performance testing
- Embed testing early in the development lifecycle, ensuring quality 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 quality 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 proper instrumentation for QA and production validation
Test Automation & CI/CD Integration
- Build and expand automated testing frameworks for functional and regression coverage
- Integrate 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 layers, including orchestration and scaling behavior
Cross-Functional Collaboration
- Partner with engineers, product managers, and stakeholders to align testing efforts with system requirements
- Ensure consistency across reputed company testing layers (unit, integration, QA, and UAT)
- Support UAT readiness and validation efforts with business stakeholders
Test Data Strategy & Risk Mitigation
- reputed company strategies for synthetic and representative test data creation
- Design scalable datasets for performance and stress testing
- Ensure test data reflects reputed company-world production scenarios
- Proactively identify risks reputed company to data quality, 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-focused 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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