Software Engineer III(Java, Springboot, AWS)

About Guidewire

About the job

Summary

• Design, develop, and operate large-scale, cloud-native data platform and analytics SaaS services.
• Write production-quality code (hands-on coding >90% of the time) using modern Java, Spring Boot, and microservices architecture.
• Build and maintain real-time stream processing systems and scalable data solutions.
• Develop and deploy microservices and analytics SaaS offerings on AWS or other public clouds.
• Own the end-to-end CI/CD process, ensuring rapid, reliable, and secure delivery of services.
• Champion scalability, availability, and data security for all services you own.
• Triage and resolve code defects, maintaining high standards for secure and reliable code.
• Collaborate in an agile, fast-paced environment, contributing to a culture of curiosity, innovation, and responsible use of AI.
• 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.
  

Required

• 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.
• 6-7+ years of hands-on software development experience.
• Strong command of Java, Spring Boot, microservices, and multithreading.
• Experience deploying applications on AWS or other public cloud platforms.
• Solid foundation in data structures, algorithms, and building performance-optimized systems.
• Experience with relational databases, Redshift, or other scalable data stores.
• Understanding of distributed systems concepts (consistency, availability, durability, reliability, fault-tolerance, consensus algorithms).
• Ability to work collaboratively in an agile, fast-paced environment.
• Excellent problem-solving skills and a passion for continuous learning.
  

Preferred

• Familiarity with modern front-end frameworks like React.js or Angular.
• Working knowledge of Kubernetes, Docker, and Terraform.
• Experience with analytics SaaS solutions and real-time stream processing systems