Perficient Inc.
QA Technology Delivery Lead – Healthcare
United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 71%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Perficient is a global AI-first consultancy.
- We break boundaries, obsess over outcomes, and shape the future for our clients.
- The QA Technology Professional is a strategic, client-facing leader responsible for driving innovation in QA practices and technologies across key accounts.
Responsibilities
- Demonstrated ability to lead and mentor a team while remaining hands-on with code and technical problem-solving.
Requirements
- Hands-on experience with automation tools such as Selenium, Playwright, WebdriverIO, REST Assured, Postman, TestNG/JUnit, and Maven.
- Experience with CI/CD tools (Jenkins, GitHub Actions, or Azure DevOps) and Git-based workflows.
Nice to have
- Integrate automated quality gates into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
- Troubleshoot flaky tests, framework bottlenecks, and environment issues, driving root-cause fixes rather than workarounds.
- Set technical direction for the team's automation frameworks, testing standards, and AI testing practices.
- Conduct hands-on code reviews, pair programming, and technical coaching to raise the team's engineering bar.
- Act as the primary technical escalation point for quality issues, blockers, and release risk decisions.
- Represent QA in architecture discussions, sprint planning, and release readiness reviews.
- Guide the team in testing AI Agents, LLM-powered features, and AI/ML models, including prompt/response validation, hallucination checks, and agentic workflow testing.
- Define quality gates and acceptance criteria for AI/LLM-based features in partnership with Data Science and ML Engineering.
Compensation
- $92k-$203k
This listing is sourced directly from Perficient Inc.'s careers page and normalized into a canonical job model.