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Guidewire

Posted 23 Sep 2026

Senior Software Engineer III (Java Full Stack)

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Employment
Full time
Team
Software Engineering
Posted
23 Sep 2026

About the role

Are you passionate about building multi-tenant, cloud-native platforms? Do you have expertise in modern Java, microservices architecture, integration technologies, and frontend frameworks? Come join our team that is building Integration Gateway, Guidewire's cloud-native integration platform. You will work in a highly collaborative environment, working on features, enhancements, and bug fixes to the platform that Guidewire customers use to connect their cloud systems.


Requirements:

  • 8-12 years of experience in software engineering, building and operating backend services or platforms at scale.
  • Excellent programming skills in Java, with strong proficiency in object-oriented design and clean coding principles.
  • Strong hands-on experience with Spring Boot and microservices architectures, including designing RESTful APIs and integrating with downstream services.
  • Experience with React.js or modern front-end frameworks is a plus, especially for building or integrating with internal tools and UIs.
  • Solid understanding of algorithms, data structures, and performance optimisation, with practical experience tuning services under real-world load.
  • Working knowledge of Kubernetes and Docker for containerised workloads and orchestration in production environments.
  • Experience working with a major public cloud provider (AWS preferred), including core services for compute, storage, networking, and security.
  • Experience with AWS DynamoDB or similar NoSQL data stores for building scalable, low-latency data access layers.
  • Familiarity with messaging and streaming technologies such as AWS SQS, Amazon S3 and Kafka (or equivalents) for building resilient, event-driven systems.
  • Experience with Apache Camel or similar integration frameworks is a plus.


Architecture and Distributed Systems:

  • Strong understanding of distributed systems concepts, including consistency and availability trade-offs, durability, reliability, fault-tolerance, and consensus patterns.
  • Ability to design for observability, implementing logging, metrics, tracing, and alerting to support reliable operations.

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