QA Technology Delivery Lead - Healthcare

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible - while building a career filled with growth, balance, and purpose.

The QA Technology Professional is a strategic, client-facing leader responsible for driving innovation in QA practices and technologies across key accounts. This role combines deep QA domain expertise with a consulting mindset to shape quality strategies, influence senior stakeholders, and support account growth.

This role partners with delivery, sales, and account leadership to understand client business objectives, design forward-thinking QA solutions, and position Perficient as a trusted advisor and integral member of the client’s leadership team.

In addition, this role oversees ongoing QA initiatives to identify gaps, optimize processes, and define meaningful career paths for QA professionals within the organization.

This position requires close collaboration with Subject Matter Experts (SMEs) in Test Automation, Mobile Testing, ETL Testing, Accessibility Testing, and Performance Engineering to identify priorities and design comprehensive QA strategies that foster organizational growth, cross-program leverage, and technical excellence.

Responsibilities

QA Technical Leader

• Write, review, and optimize automation code hands-on in Java (preferred) and/or C#/Python .
• Apply solid Object-Oriented Programming (OOP) and Design Pattern principles to keep automation frameworks maintainable and scalable.
• Balance hands-on technical contribution (coding, framework building, utility creation, debugging) with team leadership and delivery accountability.
• Own and evolve the team's automation frameworks using MCP for UI, API, Integration, and End-to-End testing using tools such as Selenium (Java-based preferred), Playwright, Appium , WebdriverIO, REST Assured, TestNG/Junit, Maven, etc
• 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.
• Lead, mentor, and grow a team of QA Engineers, Automation Engineers, and AI Testing specialists.
• 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.
• Own sprint-level and release-level quality planning, test strategy, and risk-based test prioritization.
• 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.

AI Testing & AI Agent Enablement

• Guide the team in testing AI Agents, LLM-powered features, and AI/ML models, including prompt/response validation, hallucination checks, and agentic workflow testing.
• Identify practical use cases where AI Test Agents or AI-assisted testing tools can improve coverage, speed, or maintenance effort.
• Introduce and evaluate AI-powered testing tools (test generation, self-healing automation, intelligent defect triage) and drive adoption where they add clear value.
• Define quality gates and acceptance criteria for AI/LLM-based features in partnership with Data Science and ML Engineering.
• Stay current on AI testing practices and bring practical, vetted approaches back to the team rather than chasing every new tool.

Cloud & Platform Testing

• Guide test strategy for applications deployed on AWS, Azure, and/or Google Cloud Platform (GCP) .
• Support testing of containerized and Kubernetes-based services, including integration and reliability testing.
• Partner with DevOps and SRE teams on observability, monitoring, and production validation practices.
• Ensure test coverage accounts for distributed systems, microservices, and API-centric architectures.

Consulting & Client Leadership

• Act as a strategic QA advisor to client executives and product owners, holding a seat at the leadership table within the account, and lead data-driven conversations that clarify business needs and quantify quality risk.
• Facilitate discovery sessions and workshops to understand client environments and pain points, translating complex QA concepts into clear, business-oriented narratives for technical and non-technical audiences alike.

Sales, Growth & Account Strategy

• Partner with account and sales leadership to shape QA strategy within the account, identifying cross-sell/upsell opportunities and supporting pre-sales solutioning, estimation, and RFP/RFI responses.
• Build and deliver persuasive executive presentations on QA value and ROI, helping drive a long-term QA growth strategy aligned with delivery excellence and relationship expansion.

Quality Governance & Reporting

• Track and report quality metrics, defect trends, and release readiness to engineering and product leadership.
• Drive root-cause analysis and continuous improvement following production incidents.
• Ensure consistent testing standards, documentation, and best practices across the team.
• Provide clear, data-backed recommendations on go/no-go release decisions.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (Master's a plus).
• 12+ years of experience in Software Engineering, QA Engineering, or Test Automation, including 2+ years in a technical leadership.
• Strong hands-on programming skills in Java (preferred) and/or C# .
• Solid understanding of OOP, Design Patterns, and general software architecture principles.
• Strong Experience with Testing on cloud platforms: AWS, Azure, and/or GCP.
• Practical experience testing or validating AI Agents, LLMs, or AI/ML-driven features.
• 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.
• Demonstrated ability to lead and mentor a team while remaining hands-on with code and technical problem-solving.
• Strong communication skills, with experience presenting quality status and risk to engineering and product leadership.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Applications will be accepted until the position is filled or the posting removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $92,118 to $202,730. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.

Disability Accommodations

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.

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Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.