Senior Software Engineer

Summary

Join Guidewire’s Cloud Data Platform team, a group dedicated to building and operating our enterprise‑grade, cloud‑native data and analytics platform. We enable mission‑critical insights and decision‑making for P&C insurers by processing billions of real‑time data points using the latest in Big Data and cloud technologies. Our collaborative, innovative environment values curiosity, technical excellence, and a passion for solving complex challenges.

• Design, build, and operate cloud‑native, enterprise‑grade data platforms and analytics SaaS offerings using technologies such as Spark, Iceberg, Kafka, AWS Redshift, and AWS EMR.
• Develop and maintain robust, scalable Spring Boot applications for data processing and analytics.
• Architect and implement large‑scale distributed systems, ensuring high reliability, fault‑tolerance, and performance.
• Collaborate with cross‑functional teams to deliver secure, efficient, and innovative solutions that align with Guidewire’s product and customer goals.
• Drive adoption of AI, cloud, and data platform capabilities, contributing to transformative innovation and operational excellence within Product Development and Operations (PDO).
• Mentor and support team members, fostering a culture of continuous learning and technical excellence.
• Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring.
• 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 a Senior Software Engineer or similar role within a data platform/data engineering team.
• Proven experience building and maintaining Spring Boot applications.
• Extensive experience with Big Data and distributed systems.
• Strong ability to design and implement large‑scale distributed systems.
• Prior experience with Spark, Iceberg, Kafka, AWS Redshift, AWS EMR, and other modern Big Data stack technologies in the public cloud.
• Excellent programming skills in Java and SQL.
• Deep understanding of distributed systems concepts (consistency, availability, durability, reliability, fault‑tolerance, consensus algorithms).
• Strong grasp of algorithms, data structures, and performance optimization techniques.
• Eagerness to learn new technologies and a passion for innovation.
• Comfortable working with Kubernetes, AWS, Docker, and Terraform/Cloud Formation.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Experience in the insurance or SaaS industry.
• Familiarity with additional cloud platforms or data engineering tools.

In your first six months, you’ll collaborate with talented engineers to deliver new features and enhancements for Guidewire’s cloud‑native data platform, directly supporting our FY26 PDO priorities of operational excellence and transformative innovation. You’ll help launch and scale AI‑powered analytics solutions, improve platform reliability, and drive measurable value for our customers. Your work will influence the future of insurance technology, empower customers with actionable insights, and contribute to Guidewire’s mission of delivering secure, scalable, and innovative solutions worldwide.

• Flexible work environment
• 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.

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…