Want to know if this job is worth applying to?
Redwood City, California, United States
Hybrid
Summary
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.Job Description
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.
8+ 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.
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.
We believe in clarity and setting you up for success. In your first six months, you’ll lead the hands-on design and implementation of core components for Guidewire’s next-generation data platform, collaborating with cross-functional teams to deliver scalable, secure, and high-performing solutions. Your work will directly support Guidewire’s mission to deliver operational excellence and transformative innovation, accelerating AI, cloud, and data platform adoption for our customers. As you grow in the role, your technical leadership and mentorship will influence the direction of our platform and the success of teams across the organization.
The people we employ give their all, and in return, we offer flexibility wherever we can, such as:
Flexible work environment (hybrid in San Mateo)
Health and wellness benefits
Paid time off programs, including volunteer time off
Market-competitive pay and incentive programs
Continual development and internal career growth opportunities
All new hires participate in our in-person orientation process to ensure a strong start and connection to our unique culture.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
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.
