Cloud platform and core systems for P&C insurance operations
Guidewire is a public SaaS company serving over 570 P&C insurers globally with cloud-native core systems, data platforms, and AI capabilities. The tech stack reveals a hybrid cloud-native architecture (Kubernetes, AWS services, Kafka, PostgreSQL) paired with older legacy dependencies (Oracle, SQL Server) — indicating an active modernization effort. Current project focus on cloud migrations, AI platform development, and ecosystem stabilization, combined with scaling challenges around ML and ETL pipelines, suggests the company is balancing new product innovation with the operational burden of supporting customers on aging systems.
Notable leadership hires: Engagement Director, Sales Director
Guidewire builds cloud platforms and core systems software for property and casualty insurers. The product suite spans digital engagement tools, cloud-native core systems, data analytics, and an AI platform, distributed through a large partner and integration ecosystem. The company operates at significant scale: 1,700+ implementation projects completed, partnerships across 43 countries, and a distributed engineering and sales organization spanning India, Japan, Ireland, Poland, Germany, Spain, Brazil, and the United States. Leadership is actively hiring across engineering, sales, support, and data teams, with particular emphasis on senior individual contributors, pointing toward both platform expansion and customer support growth.
Core stack: Java, React, Python, Go on AWS (Kubernetes, Lambda, ECS, DynamoDB, Redshift). Data layer: Kafka, PostgreSQL, MongoDB. Legacy integrations: Oracle, SQL Server. Currently adopting Guidewire Cloud Platform and LangGraph.
Yes. 124 active engineering roles across seniority levels, with 198 senior positions open company-wide. Hiring in 15 countries including India, US, UK, Ireland, Poland, and Germany.
Cloud platform expansion, AI platform development, data migration from legacy ETL to cloud, InsuranceNow implementation, ecosystem stabilization post-production, and regional sales strategy for analytics products.
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