Quality Engineer IV

Role Overview

The Quality Engineer IV is responsible for driving quality strategy and technical direction across teams and systems. This role drives enterprise-level quality initiatives, influences architecture decisions, and ensures scalable, maintainable, and high-performing testing practices across the organization. The QE IV partners with engineering, product, architecture and other Quality thought leaders to proactively identify risk, define test strategy, and ensure quality is built into the development lifecycle.

This role is expected to operate independently, mentor across teams, and elevate the effectiveness of the broader Quality organization.

Remote, US – Eastern/Central Time zone (Preferred)

You want to work on a high-transactional platform that directly impacts patient experience, where quality and reliability truly matter. You are excited to be part of a team that continually improves processes and enhances platform capabilities. You approach testing pragmatically – driving complete coverage, elevating risk when needed, incorporating stakeholder input, and owning outcomes. You are a quality evangelist who is passionate about delivering high-performing, functional software to the healthcare industry.

• Lead the definition and execution of test strategy within the Scrum team to ensure comprehensive coverage aligned with product and architectural goals.
• Drive quality outcomes by identifying risks early, influencing design decisions, and ensuring testability and scalability of solutions.
• Lead automation strategy, including framework design, maintainability, and integration into CI/CD pipelines.
• Identify and mitigate systemic quality risks that extend beyond the immediate team, collaborating across teams when necessary.
• Mentor and guide engineers on automation practices, test strategy, and innovative approaches to AI and quality engineering standards.
• Contribute to and promote best practices for testing, automation, and quality engineering across teams and the broader organization.
• Participate in cross-team initiatives and discussions that impact quality strategy, tooling, and engineering practices.

• 8+ years of experience in software quality engineering, including leading testing efforts in complex, high-scale environments with an automation-first approach.
• 6+ years of hands‑on experience designing and evolving automation frameworks for UI, API, and integration testing.
• Deep expertise in automation development using modern languages such as JavaScript, Python, or C#.
• Strong experience leveraging development tools and IDE ecosystems (VS Code, Eclipse, or similar) for automation development, debugging, and analysis.
• Expert-level experience integrating automated testing into CI/CD pipelines.
• Expertise in cloud concepts (AWS, Azure) including deployments and cloud‑hosted architectures.
• Proven ability to troubleshoot and resolve complex automation and pipeline failures, including test flakiness and environment instability.
• Strong understanding of API automation, service virtualization, and test data management.
• Proven ability to lead and influence automation architecture decisions, improving testability and scalability.
• Demonstrated ability to mentor engineers in automation best practices and effective test design.
• Strong understanding of underlying technologies supporting the applications under test.

• Act as an early adopter and champion of AI‑enabled testing practices.
• Design, build, and demonstrate AI‑driven solutions that improve test strategy, automation development, defect analysis, and risk identification.
• Leverage AI to proactively identify gaps in test coverage, uncover edge cases, and assess functional and non‑functional risks.
• Apply AI to accelerate root‑cause analysis by synthesizing logs, test results, and system behaviors.
• Create reusable AI‑enabled tools, scripts, or workflows that improve team productivity and scalability of quality practices.
• Mentor and train engineers on effective and responsible AI usage, promoting best practices in prompting, validation, and integration.
• Actively share learnings, demos, and drive adoption of AI…