Consultant - Automation Engineer

Inviting applications for the role of Consultant - Automation Engineer

We are looking for a senior, hands-on technical engineer to design and implement the next generation of our Quality Engineering strategy. This role is for test automation to address complex quality challenges in our healthcare product suite.

As the thought leader and subject matter expert, you will define the roadmap, build proof-of-concepts, write code, mentor engineers, and ensure our systems scale efficiently while meeting strict healthcare compliance standards.

If you're passionate about quality at scale, innovation, and leadership, we'd love to hear from you!

Responsibilities

Define and own the end-to-end QA automation strategy and roadmap for EverHealth's product portfolio.

Develop and maintain scalable, resilient test automation frameworks.

Evaluate, select, and implement modern tools for automation, and test data management.

Lead by example with hands-on development of automation scripts, and frameworks.

Perform deep-dive performance analysis, identify bottlenecks, and collaborate with Dev / DevOps to deliver high-performance solutions.

Integrate automation and performance testing within CI / CD pipelines (Jenkins, GitLab CI, Azure DevOps).

Review QA engineers' code to ensure testability, maintainability, and efficiency.

Mentor and coach QA engineers, fostering technical excellence and continuous improvement.

Ensure all testing practices comply with healthcare regulations (HIPAA, HITECH).

Incorporate security and vulnerability testing into performance and automation strategy.

Qualifications we seek in you!

Minimum Qualifications

years in Quality Assurance, focusing on test automation using Playwright.

Proven experience designing and building test automation frameworks from scratch using tools like Playwright.

Strong programming skills in one or more languages such as Python, Java, or C#.

Deep experience with API testing methodologies and tools (Postman, REST Assured).

Demonstrated knowledge and practical application of AI / ML concepts within a software testing context.

Extensive experience with CI / CD pipeline integration and DevOps principles.

Strong understanding of cloud infrastructure (AWS) and containerization (Docker, Kubernetes).

Preferred Qualifications / Skills

Prior experience in the healthcare technology (HealthTech) industry is a must. A deep understanding of the healthcare domain, including knowledge of EHR / EMR systems, patient data security, and HIPAA regulations is critical.

Bachelor%27s or Master%27s degree in Computer Science , Engineering, or a related field.

Experience leading quality initiatives across multiple product lines or in a portfolio-based company.

Familiarity with interoperability standards like HL7 and FHIR.