Director, Quality

Applied Systems, Inc.•,

4d•$150,000 - $200,000•Remote

About The Position

Amazing Career Moments Happen Here Digital connectivity is the lifeblood of innovation. At Ivans, a division of Applied, we are at the heart of what is driving innovation across the entire insurance ecosystem. This is just one of the things that makes Ivans such a cool place to work. Making a difference – for the industry and within our team – is what pushes us to do better each day. Our culture is about more than developing the best technology. It’s about being innovative, investing in our team, creating a customer-centric environment, and setting the industry up for the future. Position Overview We’re searching for a Director of Quality Assurance to join our Ivans Quality Assurance team in a remote location in either the United States or Canada. The Director of Quality Assurance will be responsible for leading and modernizing our QA strategy with a strong focus on leveraging AI throughout the software quality lifecycle. This role will help shape how quality is planned, automated, measured, and continuously improved across our carrier connectivity, data exchange, analytics, and platform modernization initiatives. In this role, you’ll lead QA teams responsible for ensuring the reliability, scalability, performance, and accuracy of mission-critical systems that support secure communication across the insurance agency–carrier ecosystem. Our platform leverages modern Java, Spring-based services, distributed messaging systems, Looker, cloud-native infrastructure in GCP, and emerging AI frameworks. You’ll lead strategic QA initiatives that modernize testing practices, improve release confidence, and embed intelligent automation across the SDLC. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.

Requirements

Significant experience leading QA, quality engineering, or test automation teams within a technology-driven organization
Strong grasp of the full QA lifecycle — test strategy, planning, automation, regression and performance testing, release validation, and production quality monitoring
Experience using AI, machine learning, or intelligent automation to improve QA processes, test generation, or defect analysis
A track record of building and scaling modern automation frameworks for APIs, backend services, distributed systems, or cloud-native applications
Familiarity with Java, Spring-based services, message queues, event-driven architectures, and cloud platforms
Strong leadership experience — coaching managers, developing technical talent, and driving accountability across cross-functional teams

Nice To Haves

Prior experience in insurance, financial services, SaaS, analytics, or high-volume transactional systems
A degree in computer science, engineering, information systems, or a related field, or equivalent practical experience
Experience defining quality metrics and translating engineering data into practical, cross-team improvements

Responsibilities

Lead the QA organization end-to-end — quality strategy, test planning, automation, release validation, performance testing, and regression coverage across Ivans platforms
Define and execute a modern QA roadmap that embeds AI throughout the lifecycle: test case generation, automated test maintenance, defect prediction, log analysis, and risk-based release readiness
Partner with engineering, product, architecture, DevOps, and data teams to build quality into every stage of design, development, deployment, and operations
Drive test automation frameworks forward for backend services, APIs, distributed systems, event-driven workflows, batch processing, and cloud-native applications
Set standards for responsible, AI-assisted QA — including validation of AI-generated outputs, quality controls, and governance
Use metrics, dashboards, and quality intelligence to track release health, reduce escaped defects, and modernize legacy QA practices with more maintainable, scalable automation
Mentor and develop QA managers, automation engineers, and quality engineers, building a culture of accountability, curiosity, and continuous improvement