QA Engineering, Senior

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

We are bringing new GenAI features in Medallia Experience Cloud (MEC) online for Gov Cloud, including Insights Assistant, Root Cause Assist, and Smart Topic Builder. This is a chance to help define how we validate AI-powered product behavior in one of the most demanding cloud environments in the industry, with the rigor our public-sector customers expect.

You will join a strong MEC engineering team with full-stack capabilities, including quality engineers, frontend engineers, and backend engineers. You will be the primary quality owner for Gov Cloud GenAI onboarding: validation in Gov Cloud staging, release criteria, and partnership with engineering from development through rollout. Beyond your assigned team, you will work with other MEC teams across related and adjacent product domains.

You will also partner with Gov Cloud customer management and Site Reliability Engineering.

After the initial GenAI rollout, expect the role to expand within about six months to other MEC quality areas, including new innovation projects on our roadmap.

• Own Gov Cloud GenAI release quality end to end: test planning, staging validation, regression coverage, release sign-off, and clear documentation
• Partner with software engineering, security, release management, Gov Cloud customer management, and customer-facing teams to deploy changes safely and resolve quality issues, using staging environments, logs, and APIs when direct customer instance access is not available
• Design and run test approaches for AI features where pass/fail is not binary, including output evaluation, guardrails, prompt regression, and edge cases. Build datasets and repeatable workflows to track GenAI quality over time
• Develop and maintain automated test suites integrated into CI/CD pipelines
• Use AI-assisted tools (Cursor, Claude, Git Hub Copilot, or similar) to accelerate test design, automation, debugging, and documentation, with the security and privacy discipline Gov Cloud requires
• Advocate for testability in design and mentor other quality engineers on automation and AI feature testing

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

• Eligibility Requirement:
  Must reside in the U.S. and hold U.S. Citizenship or a Green Card (Lawful Permanent Resident) to meet Gov Cloud compliance and access requirements
• Eligibility Requirement:
  Must be based in the greater Washington, DC area
• 5+ years in software quality engineering, test automation, or a closely related role
• Experience testing complex SaaS or enterprise applications at the application and API layers, including REST services and authentication flows
• Hands-on experience with test automation integrated into CI/CD pipelines
• Experience designing test plans, executing validation, and providing release sign-off for medium-to-large features
• Experience validating releases in regulated environments where staging, logs, APIs, and risk-based judgment are core to the quality process
• Experience troubleshooting complex issues, writing technical documentation, and prioritizing testing based on risk and explaining trade-offs to technical and non-technical partners
• Bachelor's degree or equivalent experience in Computer Science, Information Systems, or a related field

• Experience in FedRAMP, AWS Gov Cloud, or other regulated cloud environments, including work with federal agencies or public-sector customers
• Experience with Playwright and JavaScript/Type Script, or a comparable modern UI/API automation stack
• Experience testing AI, ML, or LLM-powered features, including evaluating outputs where pass/fail is not binary
• Experience using AI-assisted development tools to improve QE productivity

Medallia is committed to…