Job Overview 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. What You’ll Do 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 We’re Excited to Learn More About You Your experience may include: 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 You may have other skills or credentials, including: 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 We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply! When You Join Team Applied, You Can Expect: A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day: Medical, Dental, and Vision Coverage Holiday and Vacation Time Health & Wellness Days A Bonus Day for Your Birthday Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ Our targeted starting base salary in the United States for this position ranges from $150,000 - $200,000 USD. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. Your Security Matters: Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. #LI-REMOTE