Senior Software Engineer - Data

Are you passionate about building internet-scale multi-tenant cloud-native data platforms?
Do you have prior experience in building data platforms/data lake and analytics SaaS services in the public cloud with expertise in modern Big Data stack (Spark, Iceberg, Kafka, AWS Redshift, AWS EMR etc.)?
If so then come join our Cloud Data Platform team! This team owns, builds, and operates Guidewire’s cloud-native data platform and analytics SaaS offerings. The Guidewire Data Platform is an enterprise-grade, internet-scale, and cloud-native Big Data platform 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 our analytics, data science, and data applications. Guidewire’s data platform already processes Billions of real-time data to provide a rich set of AI/ML SaaS solutions! You will work in a highly collaborative environment building next-generation platforms and services using the latest and greatest cutting-edge & bleeding-edge technologies. You will have fun building cloud-native, enterprise-grade, and internet-scale platforms and SaaS applications.

8+ years' experience working in a similar Senior Software Engineer role within a data platform/data engineering team
Experience building and maintaining Spring Boot applications.
Extensive experience with Big Data and distributed systems.
Ability to design large-scale distributed systems.
Data Warehousing experience
Prior experience in building data platforms using Big Data stack (Spark, Iceberg, Kafka, AWS Redshift, AWS EMR ..) on the public cloud.
Excellent programming skills in Java and SQL.
Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms).
Deep understanding of Algorithms, Data Structures, and Performance Optimization Techniques.
Eager to learn new things and passionate about technology!.
Comfortable working with Kubernetes, AWS, Docker, and Terraform/CloudFormation.
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.

Hands-on coding and implementation of high-performance data processing applications, leveraging your deep understanding of distributed computing and data processing.
Designing and optimizing Spark applications.
Design cloud-native data platform and analytics SaaS services
Own architecture and provide technical leadership to multiple teams
Hands-on coding>60% of the time
Design and build large-scale real-time stream processing systems
Design and develop micro-services and analytics SaaS solutions
Own scalability, availability, and data security
Own, tackle & resolve code defects
Mentor junior developers in standards and best practices!
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.

Extensive experience working on a public cloud-like AWS
Prior experience and passion for building a large-scale multi-tenant cloud-native data platform
Emphasize team wins over individual success
Strong technical interpersonal skills
Excellent software development skills in Java
Extensive experience with Big Data and distributed systems
Ability to design large-scale distributed systems
Have developed in more than one language and ready to pivot to any language/framework
Understand microservices architecture patterns pattern like Service Discovery/API Gateway/Domain Driven Design etc
Experience with containers technology
Ability to work in an agile fast-paced environment
BS or MS degree (Computer Science or Math)

AWS (EMR, S3, Glue)
Lakehouse, Data federation, Iceberg
Apache Airflow
Debezium
ELK
Experience in building SaaS/PaaS on AWS/GCP/Azure.
AI/ML

The US base salary range for this full-time position is $148,000 - $222,000 . Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.