Staff Engineer II - Quality Engineering

Acentra Health is seeking a Staff Quality Engineer to define and drive quality engineering strategy for a product domain, platform, or major healthcare solution area.

This role blends deep technical expertise, domain leadership, innovation, architecture influence, and advanced AI-enabled quality engineering practices.

Job Summary and Responsibilities

• Define quality engineering strategy, standards, architecture patterns, and measurable quality objectives for a product, platform, or domain.
• Lead complex testing initiatives such as platform modernization, migration, interoperability, data transformation, large releases, or new product launches.
• Architect automation ecosystems across UI, API, data, integration, service, performance, security, accessibility, and compliance dimensions.
• Evaluate, select, and integrate quality tools, autonomous testing capabilities, self-healing automation, and AI-enabled productivity accelerators.
• Provide technical leadership during architecture reviews, design reviews, testability assessments, operational readiness, and release governance.
• Influence cross-team quality standards, documentation, reusable frameworks, shared services, and engineering best practices.
• Mentor Senior Quality Engineers and contribute to communities of practice, technical guilds, publications, demos, and knowledge assets.
• Partner with security, compliance, product, engineering, operations, and client-facing teams to ensure healthcare quality requirements are addressed early.
• Use data and metrics to identify systemic quality trends, investment priorities, ROI opportunities, and quality transformation outcomes. Job Requirements and Qualifications Required Qualifications
• 10-12 years of experience in quality engineering, software engineering in test, automation architecture, or related technical leadership roles.
• Expert-level automation framework design and hands-on engineering experience across multiple application and service layers.
• Advanced understanding of AI/ML testing practices, autonomous testing concepts, self-healing automation, and responsible AI governance.
• Experience leading quality strategy for complex, regulated, mission-critical, or highly integrated systems.
• Strong knowledge of performance engineering, security testing, compliance-aware testing, and production quality signals.
• Proven ability to influence architecture, standards, technical direction, and cross-functional execution without direct authority.
• Strong business acumen, communication, technical writing, and stakeholder influence skills.

• Healthcare technology experience across payer, provider, clinical, case management, claims, eligibility, interoperability, or government health systems.
• Experience contributing to shared quality platforms, engineering enablement, innovation labs, patents, publications, or conference presentations.
• Advanced certification in AI-QE, cloud, security, performance engineering, or test architecture. AI and Automation Expectations
• Design autonomous testing ecosystems; apply agentic AI workflows and multi-LLM orchestration where approved; establish responsible AI testing patterns and governance guardrails. Success Measures
• Quality strategy adopted across product/domain teams with measurable improvements.
• Reusable automation, platforms, or tools that improve speed, coverage, reliability, and compliance confidence.
• Successful delivery of complex healthcare initiatives with clear risk visibility and reduced production issues.
• Visible technical leadership through standards, mentoring, thought leadership, and cross-team influence.
• Responsible AI-QE adoption with governance, traceability, and value measurement.