Staff Software Engineer – Data Platform

Guidewire•San Mateo, CA

8h•Hybrid

About The Position

Join Guidewire’s Data Platform and Analytics team, a group dedicated to building and operating our enterprise-grade, cloud-native data platform that powers mission-critical insights for the world’s leading P&C insurers. We thrive on collaboration, innovation, and a culture that values curiosity and continuous learning. Our team leverages the latest in big data and cloud technologies to deliver scalable, reliable, and secure solutions that drive measurable value for our customers. As a Staff Software Engineer – Data Platform, you will play a pivotal role in designing and building next-generation, internet-scale data and analytics SaaS services. We are seeking a hands-on technical leader with deep expertise in distributed systems, big data, and cloud-native architectures. This is an exciting opportunity to shape the future of Guidewire’s data platform, solve complex engineering challenges, and mentor others while contributing to our mission of delivering transformative innovation and operational excellence. Job Description What you’ll do Architect, design, and implement high-performance, cloud-native data platform and analytics SaaS services that process billions of real-time data points. Lead the development of large-scale, distributed systems using modern big data technologies (Kafka, Hadoop, Spark, Flink, Hive) and Java/Scala. Drive the design and build of real-time stream processing systems and microservices, ensuring scalability, reliability, and data security. Provide technical leadership and mentorship to multiple teams, fostering a collaborative and innovative engineering culture. Own and resolve complex code defects, and champion best practices in software development and system design. Collaborate cross-functionally to deliver solutions aligned with Guidewire’s focus on AI, cloud, and data platform adoption. Emphasize team wins, strong communication, and agile delivery in a fast-paced environment. 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. 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.

Requirements

12+ years’ experience in software engineering roles focused on data platforms or data engineering.
Deep expertise in Java, with proficiency in designing and building large-scale distributed systems.
Design and development of Machine Learning Platform.
Strong understanding of distributed systems principles (consistency, availability, durability, reliability, fault-tolerance, consensus algorithms).
Advanced knowledge of algorithms, data structures, and performance optimization.
Experience with Kubernetes, AWS, Docker, and infrastructure-as-code tools (Terraform/CloudFormation).
Proven ability to design and develop microservices and API-driven systems.
Excellent technical communication and mentoring skills.
Eagerness to learn new technologies and a passion for innovation.

Nice To Haves

BS or MS degree in Computer Science, Mathematics, or related field (or equivalent experience).
Experience building data platforms using the modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive) on public cloud.
Familiarity with ELK, Debezium, and building SaaS/PaaS on AWS/GCP/Azure.
Experience with TeamCity-based CI/CD pipelines.
Experience developing in multiple programming languages and frameworks.

Responsibilities

Architect, design, and implement high-performance, cloud-native data platform and analytics SaaS services that process billions of real-time data points.
Lead the development of large-scale, distributed systems using modern big data technologies (Kafka, Hadoop, Spark, Flink, Hive) and Java/Scala.
Drive the design and build of real-time stream processing systems and microservices, ensuring scalability, reliability, and data security.
Provide technical leadership and mentorship to multiple teams, fostering a collaborative and innovative engineering culture.
Own and resolve complex code defects, and champion best practices in software development and system design.
Collaborate cross-functionally to deliver solutions aligned with Guidewire’s focus on AI, cloud, and data platform adoption.
Emphasize team wins, strong communication, and agile delivery in a fast-paced environment.
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.