Senior QA Engineer

Role Overview

Accountabilities

• Own the end-to-end QA strategy, test plans, risk-based coverage targets, quality gates, and release readiness criteria.
• Evaluate, select, and document the testing technology stack across UI, APIs, integrations, performance, accessibility, and security.
• Build, maintain, and optimize automated test frameworks for web applications, APIs, and integrations.
• Automate coverage of critical healthcare workflows including triage, clinical documentation, orders, and patient discharge.
• Develop load, stress, and soak tests simulating emergency department usage and peak traffic.
• Integrate automated testing into CI/CD pipelines with parallel execution and AI-assisted test impact analysis.
• Identify, document, prioritize, and resolve defects with root-cause analysis.
• Lead exploratory testing and contribute to sprint planning, backlog refinement, and release readiness.
• Use LLMs to transform user stories and clinical specifications into test scenarios and edge cases.
• Leverage AI coding agents and Playwright MCP for test planning, generation, and healing.
• Establish privacy-safe synthetic patient records and clinical scenarios for testing.
• Build evaluation frameworks for AI features using golden datasets, scoring rubrics, and regression gates.

Requirements

• At least 5 years of professional QA or software testing experience, including a minimum of 3 years developing automated testing solutions.
• Strong understanding of testing methodologies, risk-based testing, test design techniques, and defect lifecycle management.
• Strong proficiency in TypeScript or JavaScript and working knowledge of Python.
• Hands-on experience with modern automation frameworks, preferably Playwright, with Cypress or Selenium also considered.
• Regular, practical use of AI coding agents in test engineering.
• Understanding of how LLM applications can fail and experience evaluating non-deterministic outputs.
• Practical performance testing experience with Locust, k6, JMeter, or comparable tools.
• Solid experience testing APIs and integrations.
• Experience integrating automated test suites into CI/CD pipelines and Git-based workflows.
• Understanding of secure testing practices and protecting sensitive information.
• Strong analytical and problem-solving skills with clear communication.
• Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent practical experience.

Nice To Have

• Experience in healthcare technology or regulated clinical software, particularly EHR, EDIS, or ONC Health IT certification testing.
• Familiarity with HL7 v2, FHIR, and HIPAA requirements.
• Hands-on experience with LLM evaluation and AI observability tools such as Promptfoo, DeepEval, Ragas, Langfuse, or LangSmith.
• Experience building MCP servers, custom AI agents, or AI-assisted engineering tools.
• Knowledge of Playwright MCP and AI-driven test planning, generation, maintenance, and healing.
• Experience with performance tools such as Locust or k6 and security tools such as OWASP ZAP.
• Experience with accessibility testing, WCAG standards, visual regression testing, and axe-core.
• Familiarity with AI security testing, prompt-injection assessment, red-teaming, and OWASP Top 10 for LLM Applications.
• Experience with contract testing tools such as Pact and healthcare interoperability interfaces.

Benefits

• Competitive compensation aligned with UK working hours.
• Remote flexibility supporting work-life balance.
• Global collaboration with diverse professionals.
• Professional development and training opportunities.
• Career progression opportunities.
• Comprehensive healthcare coverage.
• Opportunity to shape a modern QA practice with AI coding agents and automation frameworks.

Workplace

• Remote flexibility with work aligned to UK working hours.
• Experience working in fast-paced, agile, distributed teams across time zones is required.

Application Notes

• This position is listed on behalf of a partner company that manages all applications and next steps.
• Jobgether uses an AI-powered matching process to shortlist candidates; final decisions are managed by the hiring company.