Successful software engineers at Guidewire typically have:
• A desire to work collaboratively in an empowered, small, cross-functional team
• Experience working in an agile and fast-paced development environment (e.g. TDD, BDD, Agile, pair programming, etc.)
• A passion for code quality demonstrated by thorough testing
• A desire to be hands-on in designing and writing code
• A demonstrated ability to embrace AI and apply it to their role, alongside data-driven insights, to drive innovation, productivity, and continuous improvement
• Curiosity and internal motivation to constantly improve
• Excellent communication skills, comfort level to speak their mind and defend ideas based on merit, yet humility and hunger to learn from others
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.
Key qualifications include experience with:
Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.
• Minimum 2+ years of Software Development experience, preferably in SaaS or cloud solutions
• Proficiency in Core Java, and good working knowledge of the Spring framework
• Experience with JavaScript, TypeScript, or Python
• Experience building microservices on cloud service platforms (e.g. AWS/GCP/Azure) – AWS preferred
• Experience with containerization and orchestration (Docker and Kubernetes)
• Experience designing REST or gRPC based APIs
• Ability to use AI-assisted coding tools (e.g. Claude Code, GitHub Copilot) to accelerate development while exercising strong judgment around code quality, testing, and security
• Good understanding of Object-Oriented Design principles
• Understanding of relational database persistence (e.g. MySQL, Oracle); familiarity with NoSQL databases (e.g. MongoDB, CouchDB) is a plus
• Great understanding of CI/CD and DevOps principles; experience with related tools such as TeamCity, Git-based workflows, or Kubernetes is a definite plus
• Experience with LLMs, LangChain, and/or AI patterns such as RAG or ReAct is a plus
• Exposure to AI/ML development patterns such as prompt engineering or integrating AI services into production systems is a plus
• BS/MS degree (Computer Science or related field)