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 large-scale 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
- Minimum 10+ years of relevant work experience
- Experience building cloud native data platform
- Excellent programming skills in Java/Python, with strong, hands-on experience in the Spring Boot framework.
- Strong experience with AWS (or another major public cloud) and designing cloud-native solutions.
- Deep understanding of distributed systems concepts and principles (e.g., consistency, availability, fault-tolerance, consensus algorithms).
- Demonstrable experience in designing and implementing robust, scalable multi-tenancy architectures for SaaS products.
- Experience with relational databases (e.g., PostgreSQL, MySQL) and cloud data warehouses like Redshift.
- Familiarity with modern big data ecosystems (Data Mesh,Lakehouse) and technologies (Spark,Trino).
- Working knowledge of Data Governance principles and experience implementing solutions for data quality, security, and compliance.
- Experience integrating Artificial Intelligence (AI) or Machine Learning (ML) models into production systems and workflows.
- Working knowledge with containerization and orchestration tools like Docker and Kubernetes.
- Experience with Infrastructure as Code (IaC) using tools like Terraform.
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
