Senior Software Engineer - Data

Summary

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.

Job Description

Required Skills:

•  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.

What you would do:

• 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.

What you would need to succeed:

• 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

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