Quality Assurance Automation Lead

Faro Health aims to improve lives by helping life sciences companies design optimal clinical trials. Our AI powered software platform optimizes and orchestrates complex clinical development by providing powerful insights about trial design and outcomes. Faro empowers researchers to design more intelligent trials, reducing development costs and reaching milestones faster with better patient experiences.

Faro is a mission driven company seeking world class people who share our passion for improving drug availability and patient outcomes through better clinical trial design. We pride ourselves on our vibrant, inclusive, and growth mindset oriented culture. Faro offers competitive compensation and benefits, generous vacation and parental leave, and flexible working hours.

We are a hybrid workplace where San Diego employees work from their homes as well as in our stunning main headquarters enjoying a gym with classes and (early next year) spa services, outdoor lawn work area, and steeply discounted food hall. Remote employees work from home and visit the main office for group events and in-person collaboration.

In this role, you’ll be instrumental in driving our software quality assurance lifecycle, collaborating with development, manual QA and Dev Ops teams to establish test strategies, and developing automated tests to ensure our releases meet the highest standards.

If you’re passionate about quality, automation, and continuous improvement, join us in shaping the future of clinical trial development.

• Lead the architect, design and development of automation testing tools, frameworks and processes for ensuring user experience and data quality across all product lines
• Work closely with multiple teams to identify areas that can benefit from automation and design software solutions accordingly
• Drive the software quality assurance life cycle within an Agile process
• Mentor and coach team members on best practices for automation development
• Conduct code reviews and ensure compliance with coding standards and practices
• Stay up to date on industry trends, best practices and standards in automation and software development
• Establish and govern key automation metrics (e.g., ROI, flake rate, coverage by risk) and communicate test suite health and risks to cross-functional teams and engineering leadership.

• BS/MS degree in Computer Science or related field
• Proven technical expertise, with a deep understanding of software architecture, data structures, and algorithms.
• Strong proficiency and hands‑on expertise in Typescript and Python are mandatory, as these are the primary languages used across our product lines, including experience with NodeJS.
• Demonstrated ability to proficiently utilize Large Language Models (LLMs) and AI tools to enhance automation strategies and test efficiency.
• Mandatory deep expertise in Playwright (Type Script), with strong hands‑on experience in framework architecture and debugging.
• Extensive experience with API testing (REST/GraphQL) for comprehensive data and service integration validation.
• Understanding of CI/CD and continuous automation pipelines (Github Action)
• Familiarity with version control, defect tracking, and test management tools (GIT, JIRA, Qase)
• Experience with SQL/No
  
  SQL databases
• Familiarity with load/stress testing frameworks and methodologies

• Experience with cloud platforms (e.g.,Azure) and containerization (e.g., Docker, Kubernetes)
• Bonus: data analysis skills

• Strong communication and presentation skills
• Strong organizational, motivational, and leadership skills
• Strong attention to details and ability to triage and aid in resolution of escalations
• Team player with ability to work independently; ability to adjust to changing priorities
• Strong emotional intelligence, interpersonal and communication skills, both verbal and written
• Strong business planning and problem solving skills
• Goal‑oriented
• Ability to project and maintain a professional and positive attitude
• Proven ability to drive SDLC efficiency through AI‑integrated workflows, utilizing LLMs to automate script creation and significantly reduce debugging time.
• Demonstrated ability to…