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About LighthouseAI
LighthouseAI provides pharmaceutical state licensing software and services to pharmaceutical manufacturers, wholesale distributors, logistics companies, and pharmacies. The LighthouseAI product suite includes LighthouseAI Intelligence®, which uses artificial intelligence to automate compliance requirement research, and LighthouseAI Management® which enables maintenance. LighthouseAI creates a stress-free and streamlined state licensing experience with support from our expert industry veterans and professional solutions.
We are seeking an experienced and motivated Senior QA Automation Engineer to drive our software quality initiatives. This role requires a hands-on leader who can design, implement, and optimize automation frameworks, mentor a team of engineers, and collaborate with cross-functional teams to deliver high-quality, reliable software products in an Agile environment.
This is a full-time remote position .
Working Hours: Monday-Friday 8am-4:30pm ET
Applicant must be legally authorized to work in the United States without sponsorship now or in the future.
Essential Duties and Responsibilities:
Framework Development : Design, build, and maintain scalable end-to-end (E2E) automation frameworks using Playwright (or Selenium) to support complex web applications and APIs.
AI & LLM Integration : Incorporate Anthropic Claude (or other LLMs) into the test suite to enable advanced capabilities like self-healing scripts, non-deterministic UI validation, and automated test data generation.
Workflow Optimization : Leverage prompt engineering and LLM APIs to automate repetitive QA tasks, optimize test coverage, and handle dynamic content validation.
Project & Bug Management : Track defects, manage regression suites, and drive sprint tasks within Linear to maintain high visibility of product quality.
CI/CD Automation : Integrate automated test execution pipelines into CI/CD workflows (e.g., GitHub Actions, GitLab CI) for seamless continuous testing.
Cross-Functional Collaboration : Partner with developers, product managers, and data scientists to identify risk early in the product lifecycle and align on validation strategies.
Work Experience Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience : 5+ years of dedicated professional experience in software QA automation engineering.
Automation Tools : Proficient with Playwright (TypeScript, JavaScript, or Python); hands-on experience with Selenium is acceptable if accompanied by a strong understanding of modern testing architectures.
AI/LLM Competency : Demonstrated experience working with Large Language Models (specifically Claude or OpenAI APIs) and writing effective system prompts for technical use cases.
Project Tools : Experience using Linear for agile issue tracking, bug lifecycle management, and sprint planning is highly preferred (Jira experience is acceptable).
CI/CD Skills : Practical knowledge of integrating automated tests into deployment pipelines.
Agile Mindset : Strong ability to thrive in a fast-paced, iterative Agile/Scrum development environment.
Other Qualifications:
Basic understanding of AI driven QA Approaches.
Exposure to self healing Test Automation
Excellent analytical and problem-solving abilities.
Strong written and verbal communication skills, with a keen attention to detail.
Proven leadership skills with the ability to manage and motivate a team.
Experience working with team members located in different time zones.
