[Hiring] Quality Assurance Engineer IV @Availity

Role Description

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.

• 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.
• Operates independently, mentors across teams, and elevates the effectiveness of the broader Quality organization.

Assigned to a Scrum team, leads the definition and execution of test strategy to ensure comprehensive coverage aligned with product and architectural goals.

• Drives quality outcomes within the Scrum team by identifying risks early, influencing design decisions, and ensuring testability and scalability of solutions.
• Leads automation strategy within the team, including framework design, maintainability, and integration into CI/CD pipelines.
• Identifies and mitigates systemic quality risks that extend beyond the immediate team, collaborating across teams when necessary.
• Mentors and guides engineers within and outside the Scrum team on automation practices, test strategy, innovative approaches to AI, and quality engineering standards.
• Contributes to and promotes best practices for testing, automation, and quality engineering across teams and the broader organization.
• Participates in and contributes to cross-team initiatives and discussions that impact quality strategy, tooling, and engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 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, ensuring scalability, maintainability, and long-term sustainability.
• Experience in an Agile/Scrum environment; operates in 2-week sprints.
• Deep expertise in automation development using modern languages such as JavaScript, Python, or C#, with the ability to guide others in writing performant, maintainable, and reusable automation code.
• Strong experience leveraging development tools and IDE ecosystems (VS Code, Eclipse, or similar), including extensions and integrations, to accelerate automation development, debugging, and analysis workflows.
• Expert-level experience integrating high-value automated testing into CI/CD pipelines, ensuring reliable and efficient validation in continuous delivery environments.
• Expertise of cloud concepts (AWS, Azure including environments, deployments, and cloud-hosted architectures).
• Proven ability to troubleshoot and resolve complex automation and pipeline failures, including test flakiness, environment instability, and systemic issues.
• Strong understanding of API automation, service virtualization, and test data management, with the ability to determine optimal test layering (API vs UI vs integration).
• Proven ability to lead and influence automation architecture decisions, improving system testability, scalability, and long-term reliability.
• Demonstrated ability to mentor engineers in automation best practices, framework usage, and effective test design, elevating automation maturity across teams.
• Strong understanding of underlying technologies supporting the applications under test, including APIs, distributed services, data systems, and cloud-based platforms.

Requirements

• Acts as an early adopter and champion of AI-enabled testing practices, proactively exploring new tools and approaches to improve quality engineering efficiency and effectiveness.
• Designs, builds, and demonstrates AI-driven solutions that improve test strategy, automation development, defect analysis, and risk identification across the team and broader organization.
• Leverages AI to proactively identify gaps in test coverage, uncover edge cases, and assess functional and non-functional risks across complex systems.
• Applies AI to accelerate root cause analysis by synthesizing logs, test results, and system behaviors, enabling faster and more accurate decision-making.
• Creates reusable AI-enabled tools, scripts, or workflows that improve team productivity and scalability of quality practices.
• Mentors and trains engineers on effective and responsible AI usage, promoting best practices in prompting, validation, and integration into daily workflows.
• Actively shares learnings, demos solutions, and drives adoption of AI capabilities across teams to elevate the overall effectiveness of the Quality organization.
• Uses AI responsibly with strong human oversight, ensuring outputs are validated, accurate, and suitable for use in testing and release decisions.

Benefits

• Competitive salary and bonus structure.
• Generous HSA company contribution.
• Healthcare, vision, dental benefits, and a 401k match program available from day one.
• Unlimited PTO for salaried associates + 9 paid holidays; hourly associates start at 19 days of PTO.
• Reimbursement up to $250/year for gym memberships, racing events, weight management programs, etc.
• Education reimbursement offered.
• Paid Parental Leave for both birth and adoptive parents.
• Opportunities to engage with community organizations through volunteer efforts.