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Applied Systems

HQ
Chicago, Illinois, USA
Total Offices: 18
2,780 Total Employees
650 Product + Tech Employees
Year Founded: 1983
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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.

Team

Technology

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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Recently posted jobs

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Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The Staff Data Engineer will design and implement scalable data solutions, optimize data infrastructure, support Business Intelligence product development, and manage data workflows. The role involves collaboration with stakeholders to ensure alignment between data solutions and business requirements, while utilizing cloud-native technologies.
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The Sr. Workforce Management Analyst will manage scheduling, resource allocation, and capacity planning for the Data Services department. This role includes developing forecasting models, reporting to leadership, and optimizing project timelines while coordinating with various teams.
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The Manager of Software Engineering will lead a team to design, develop, and scale the Data Lake platform. Responsibilities include overseeing the development of scalable data pipelines, managing team priorities across multiple projects, ensuring high standards in code quality, and fostering continuous improvement and innovation within the engineering team.
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