Software Engineer II

Job Description Summary Are you passionate about building large scale multi-tenant cloud-native data platforms Do you have prior experience in building data platforms/data lakes and analytics SaaS services in the public cloud Do you have expertise in modern Java, microservices architecture and knowledge of modern frontend technologies like Angular or React.js Come join our Data platform and Analytics team. This team owns, builds, and operates Guidewire s cloud-native data platform and analytics SaaS offerings. Guidewire s data platform is targeted to be best-in-class in enabling our customers with mission-critical insights and decision-making capabilities. The platform is designed to support all of our analytics, data science, and data applications. You will work in a highly collaborative environment building next-generation platforms and services. Job Description What you would do: Design, develop and run cloud-native data platform and analytics SaaS services Hands-on coding > 90% of the time Design and build largescale real-time stream processing systems Design, develop and run microservices and analytics SaaS solutions Own Continuous Integration (CI) and Continuous Deployment (CD) for your services Own scalability, availability, and data security for your services Triage & resolve code defects Maintain secure code and resolve app security findings What you would need to succeed: Minimum 2+ years of required work experience B. Tech or M. Tech degree (Computer Science ) or equivalent Excellent programming skills in Java Strong experience with Java, Spring boot. Microservices, multithreading and AWS (or any public cloud) Deep understanding of Algorithms, Data Structures, and performance optimization techniques Exposure to modern frontend technologies like Angular or React.js Working knowledge with Kubernetes, AWS, Docker, and Terraform is a plus. Experience with relational databases, redshift, etc. Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms) Ability to work in an agile fast-paced environment.