Insurtech is on a transformational journey and Applied Systems is leading the way. As a developer on Team Applied, you not only have the opportunity to solve complex problems, but to disrupt the way our industry operates. With events like “dev days” and our annual hackathon, we’re cultivating a culture of innovation, where your unique experiences and skills directly impact the work that we do. Speaking of culture, ours is pretty unique. Development Manager Murray Wasley says it best: “When I joined Applied Systems in June 2023, I felt this overwhelming sense of community and a feeling of fitting in from day one.” With an average tenure of 14 years and a growing team, it’s an exciting time to be at Applied.
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Applied Systems
Teams at Applied Systems
Team Applied is made up of over 2700 down-to-earth people with global experience and innovation energy. We are smart, hard-working people who have a hunger to lead and who embrace humility – and often a lot of humor – to make every day approachable and fun. Our teammates show up as they are, creating an authentic environment that fosters collaboration, curiosity and connections – and one that doesn’t waste time on the unnecessary confines of corporate bureaucracy or hierarchy. We care about each other, not just as peers but as people. We strive to create better ways of working and living, delivering better outcomes for each other and our customers.

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Recently posted jobs
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The SDET role involves developing and maintaining automated tests, collaborating with teams to ensure test frameworks are efficient, and leading efforts in CI/CD implementation.
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The Sr Associate Product Manager focuses on enhancing data products in the insurance industry, conducts market research, collaborates with teams to define product requirements, and prioritizes the data product backlog.
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
Analyze datasets, monitor KPIs, oversee expense management, generate financial reports, automate reporting, and collaborate on business strategy.