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.