Join Guidewire's Cloud Data Platform team, a group dedicated to building and operating our enterprise-grade, cloud-native data and analytics platform. We enable mission-critical insights and decision-making for P&C insurers by processing billions of real-time data points using the latest in Big Data and cloud technologies. Our collaborative, innovative environment values curiosity, technical excellence, and a passion for solving complex challenges. As a Senior Software Engineer, you will play a pivotal role in designing and developing scalable data platforms and analytics SaaS services in the public cloud. We seek expertise in the modern Big Data stack and distributed systems to help us deliver transformative innovation and operational excellence. This is an opportunity to shape the future of insurance technology, working on projects that drive measurable value and efficiency for our customers and support Guidewire's mission to transform the industry through AI, cloud, and data platform adoption. Job Description What you'll do Design, build, and operate cloud-native, enterprise-grade data platforms and analytics SaaS offerings using technologies such as Spark, Iceberg, Kafka, AWS Redshift, and AWS EMR. Develop and maintain robust, scalable Spring Boot applications for data processing and analytics. Architect and implement large-scale distributed systems, ensuring high reliability, fault-tolerance, and performance. Collaborate with cross-functional teams to deliver secure, efficient, and innovative solutions that align with Guidewire's product and customer goals. Drive adoption of AI, cloud, and data platform capabilities, contributing to transformative innovation and operational excellence within Product Development and Operations (PDO). Mentor and support team members, fostering a culture of continuous learning and technical excellence. Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring. At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees