Automation Quality Engineer

Medica•St. Louis, MO

1d•Hybrid

About The Position

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. Defining problems, conducting and narrowing research, analyzing criteria, finding, analyzing and applying solutions. Performs other duties as assigned.

Requirements

Bachelor's degree or equivalent experience in related field
3+ years of work experience beyond degree

Nice To Haves

Professional automation testing experience
Demonstrated use of quality tools/methodologies
Strong proficiency in at least one programming language (Java, C#, Python, or similar), SQL, and cloud-based application development.
Leverage AI/ML-based tools for intelligent test generation, self-healing automation, predictive quality analytics, and auto-triage of defects.
Advanced computer skills, including statistical/data analysis and technical report writing
Familiarity with DevOps tools, CI/CD pipelines, and cloud platforms (Azure, AWS, GCP).
Healthcare industry experience desired
Certified Quality Engineer Accreditation is desired

Responsibilities

Develop, document, and implement test processes and procedures, places an emphasis on automation and efficiency.
Apply sound, systematic problem-solving methodologies in identifying, prioritizing, communicating, and resolving quality issues.
Build, maintain, and optimize scalable automation frameworks (UI, API, data, integration) leveraging modern tools and design patterns such as BDD, modular frameworks, self-healing locators, and cloud-based execution.
Create, maintain, and enhance automation frameworks and accelerate reusable components that support continuous testing.
Integrate automated tests into CI/CD pipelines to enable continuous quality checks, automated gating, and rapid feedback across the SDLC.
Participate in quality teams to support quality disciplines, decisions, and practices.
Provide measurable contributions by working on teams across development and data engineering systems and applications.
Maintains positive and cooperative communications and collaboration with all levels of employees, customers, contractors, and vendors.