Q

Qualitest

AI-powered software testing and quality engineering

Lead Full-Stack Developer

Full-Stack EngineeringUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • 8–12+ years of professional software development experience.
  • Strong hands-on expertise in Java and Spring Boot, including modern Java versions such as Java 17 or Java 21.
  • Practical experience developing REST APIs and microservices.
  • Hands-on experience with React.js and full-stack application development, with approximately 80% backend and 20% frontend responsibilities.
  • Healthcare domain experience involving claims processing, healthcare pricing, and routing workflows.
  • Practical Docker and Kubernetes implementation experience, including at least six months of hands-on experience.
  • Working knowledge of Kafka or similar event-streaming platforms.
  • Experience with CI/CD pipelines and the Development, SQA, and Production deployment lifecycle.
  • Ability to independently develop, debug, test, and deploy application code.
  • Understanding of microservices data persistence, database transactions, connection pooling, and distributed systems.
  • Experience troubleshooting production issues and performing root-cause analysis.
  • Experience working with distributed or offshore development teams.

Responsibilities

  • Develop and maintain healthcare applications involving claims processing, pricing, and routing workflows.
  • Understand the healthcare claims lifecycle, including receipt, processing, pricing, routing, and transmission to external platforms such as HealthEdge.
  • Develop and maintain HealthEdge integrations, including request and response processing, data mapping, validation, and error handling.
  • Understand how claims are submitted to HealthEdge, priced, and returned for processing by downstream systems.
  • Troubleshoot claims-processing failures, pricing discrepancies, integration issues, and routing-related problems.
  • Collaborate with product owners, business analysts, and technical teams to translate healthcare business requirements into technical solutions.
  • Design, develop, and maintain scalable backend applications using Java and Spring Boot.
  • Build RESTful APIs and microservices to support healthcare business workflows.
  • Implement business logic, validation, exception handling, transaction management, and API integrations.
  • Develop reusable components and maintain clean, scalable, maintainable code.
  • Implement unit and integration testing using JUnit, Mockito, and related frameworks.
  • Design, develop, and support microservices-based applications.
  • Containerize applications using Docker and deploy services using Kubernetes.
  • Work with Kafka or similar event-streaming technologies for asynchronous communication and event-driven processing.
  • Implement service-to-service communication, resilience, error handling, and distributed transaction patterns.
  • Apply microservices data-persistence strategies, including database-per-service architecture, transactional and read-only database access, and shared connection-pool management where appropriate.
  • Participate in the complete CI/CD lifecycle.
  • Build, troubleshoot, and deploy application code across Development, SQA, and Production environments.
  • Work with CI/CD pipelines, automated builds, testing, deployment, and release management.
  • Debug application issues locally and across deployed environments without relying entirely on separate DevOps or deployment teams.
  • Troubleshoot production incidents, identify root causes, and implement permanent fixes.
  • Resolve real-world performance, integration, database, and microservices issues.
  • Develop and maintain frontend components using React.js.
  • Integrate React applications with Spring Boot REST APIs.
  • Implement reusable UI components, state management, form validation, and API error handling.
  • Collaborate with backend and product teams to deliver end-to-end application functionality.
  • Provide hands-on technical guidance and support to offshore development teams.
  • Participate in solution design, code reviews, technical discussions, and development planning.
  • Review code for quality, maintainability, security, and performance.
  • Ensure offshore deliverables align with architecture, engineering standards, and business requirements.
  • Support knowledge sharing, technical mentoring, and collaboration across distributed teams.
  • Remain actively involved in coding and technical implementation rather than focusing exclusively on team management.

Desired Qualifications

  • Prior HealthEdge integration experience.
  • Healthcare claims and pricing domain knowledge, including claims adjudication, pricing engines, claims routing, and payment workflows.
  • Experience with Oracle Cloud Infrastructure, AWS, Azure, or other cloud platforms.
  • Experience with Kafka streaming and event-driven architectures.
  • Familiarity with GitHub Copilot and other AI-assisted development tools.
  • Experience with Test-Driven Development, JUnit, Mockito, Selenium, and Cucumber.
  • Experience with cloud-native application development and distributed-system observability.
  • Experience leading technical delivery across geographically distributed teams.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$497M
Headquarters
Fairfield, CT
Founded
1997

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