Senior API Quality Engineer

Title: Senior API Quality Engineer

Location: Remote

Duration: Contract

Role Summary:

• We are seeking a highly skilled Senior API Quality Engineer to join our Enterprise Quality Engineering organization. This role is responsible for ensuring the quality, reliability, security, scalability, and operational readiness of APIs supporting critical healthcare business capabilities.
• The ideal candidate combines deep API testing expertise with automation engineering, healthcare domain knowledge, and modern quality engineering practices. This individual will partner with business and technology teams to deliver high-quality API solutions across member, provider, claims, enrollment, authorization, and other healthcare platforms.
• Candidates should possess strong experience in API validation, test automation, Java and Python development, data validation, quality metrics, and AI-assisted software engineering practices.

Key Responsibilities:

API Quality Engineering:

• Develop and execute test strategies for enterprise API initiatives.
• Design comprehensive test coverage encompassing functional, integration, regression, end-to-end, negative, boundary, and resiliency testing.
• Validate business rules, service orchestration, data transformations, and complex workflow scenarios.
• Perform API contract validation and ensure alignment with OpenAPI specifications.
• Participate in architecture, design, and API review sessions to improve testability and quality.
• Support SIT, UAT, production validation, and release readiness activities.
• Identify quality risks and provide mitigation recommendations.

REST and GraphQL API Testing:

• Validate REST and GraphQL APIs across distributed and microservices-based architectures.
• Verify request and response payloads, schema compliance, authentication, authorization, and error handling.
• Perform backend validation across databases, integrations, and downstream systems.
• Validate service interactions, API gateways, event-driven integrations, and enterprise workflows.
• Test complex API orchestration and multi-system business transactions.
• Support API versioning and backward compatibility validation.

Automation Engineering:

• Develop and maintain scalable API automation frameworks using Java and Python.
• Design reusable automation components, utilities, libraries, and testing accelerators.
• Create automated regression suites supporting continuous integration and continuous delivery pipelines.
• Implement data-driven and behavior-driven testing approaches.
• Develop utilities for:
• Test data generation
• Data validation
• Response comparison
• Service mocking
• Reporting and analytics
• Continuously improve automation coverage and execution efficiency.

Healthcare Domain Validation:

• Validate healthcare payer business processes and workflows.
• Support testing of:
• Member Management
• Claims Processing
• Provider Management
• Eligibility and Enrollment
• Benefits Administration
• Authorization and Referral Management
• Reference Data Services
• Verify healthcare business rules and complex data relationships.
• Perform end-to-end validation across integrated healthcare platforms.
• Partner with business stakeholders to

Test Data Management:

• Define and execute test data strategies for API programs.
• Analyze data dependencies across multiple healthcare applications.
• Develop test data provisioning and management solutions.
• Create synthetic and masked test data where required.
• Validate data integrity across source and target systems.
• Support large-scale integration and modernization testing efforts.

Observability and Production Quality:

• Analyze application logs, traces, metrics, and monitoring data.
• Support production validation and post-deployment verification activities.
• Collaborate with engineering teams to investigate defects and service issues.
• Participate in release health assessments and quality reviews.
• Utilize observability platforms and monitoring tools to improve quality outcomes.

AI-Assisted Quality Engineering:

• Leverage GitHub Copilot and AI-enabled tools to accelerate testing and automation development.
• Review and validate AI-generated artifacts to ensure enterprise quality standards.
• Utilize AI for:
• Test case generation
• Test data analysis
• Regression impact assessment
• Defect investigation
• Automation development
• Release readiness analysis
• Contribute to AI-enabled quality engineering best practices.

Quality Intelligence and Metrics:

• Develop and maintain quality dashboards and metrics.
• Analyze defect trends, test effectiveness, and release quality indicators.
• Present quality insights to engineering and business stakeholders.
• Support data-driven quality decision-making.
• Identify opportunities for continuous improvement through metrics and analytics.

Collaboration and Leadership:

• Collaborate with architects, developers, product owners, business analysts, and operational teams.
• Participate in Agile ceremonies and continuous improvement initiatives.
• Mentor junior quality engineers.
• Contribute to enterprise quality engineering standards, processes, and frameworks.
• Promote automation-first and quality-first engineering practices.

Required Qualifications:

• 7+ years of software quality engineering experience.
• 5+ years of API testing experience.
• 3+ years of API automation development experience.
• Experience with healthcare payer platforms and business processes.
• Strong experience testing REST APIs.
• Experience testing GraphQL APIs.
• Advanced Python development skills.
• Experience building and maintaining automation frameworks.
• Strong SQL and data validation skills.
• Experience with JSON, XML, and API schema validation.
• Strong understanding of microservices and distributed architectures.
• Experience with CI/CD and DevOps practices.
• Experience working in Agile delivery environments.
• Healthcare payer domain experience.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with cloud-native architectures.
• Experience with performance and resiliency testing.
• Experience designing test data management solutions.
• Experience with API security testing.
• Experience with observability and monitoring platforms.
• Experience implementing Quality Intelligence or Quality Engineering analytics solutions.
• Experience using AI-assisted engineering tools and agentic workflows.

Technical Skills:

API & Integration Testing:

• REST APIs
• GraphQL
• OpenAPI / Swagger
• Postman
• SoapUI
• JSON
• XML
• API Contract Testing
• Consumer Driven Contract Validation
• Integration Testing
• End-to-End Testing

Automation Engineering:

• Python
• PyTest
• API Automation Framework Design
• Test Utilities Development
• Service Virtualization
• Data-Driven Testing
• Continuous Testing

Data & Backend Validation:

• SQL
• Database Testing
• Data Reconciliation
• Data Integrity Validation
• Backend Testing

DevOps & Delivery:

• GitHub/Bitbucket
• GitHub Copilot
• CI/CD Pipelines
• Jenkins
• Azure DevOps
• Jira
• Confluence

Quality Engineering:

• Test Strategy
• Risk-Based Testing
• Defect Management
• Quality Metrics
• Release Readiness
• Test Data Management
• Root Cause Analysis

AI-Enabled Engineering:

• GitHub Copilot
• Prompt Engineering
• AI-Assisted Testing
• AI-Assisted Development
• Agentic Workflows
• AI Validation Practices
• Productivity Automation