Staff Engineer II - Quality Engineering

Company Overview

Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact.

Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.

Job Summary and Responsibilities

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.

• 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. Preferred Qualifications
• 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.