Senior Software Engineer

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Join Guidewire’s Data Platform and Analytics team, a group dedicated to building and operating our cloud-native, enterprise-grade data platform that powers mission-critical insights for the world’s leading P&C insurers. Our team thrives on collaboration, innovation, and a shared commitment to operational excellence, leveraging the latest in Big Data and cloud technologies to deliver scalable, secure, and reliable solutions. We work in a hybrid environment based in San Mateo, focused on AI, cloud, and data platform adoption to drive measurable value for our customers.

• Design, build, and operate scalable, multi-tenant cloud-native data platform components using technologies such as Spark, Kafka, Hadoop, Flink, and Hive.
• Develop and optimize data pipelines and analytics services to process billions of real-time events, enabling AI/ML-powered SaaS solutions.
• Collaborate with cross-functional teams to deliver secure, reliable, and high-performance data products that support analytics, data science, and business applications.
• Drive adoption of best practices in cloud engineering, data security, and operational excellence, contributing to Guidewire’s platform reliability and compliance goals.
• Mentor and support team members, fostering a culture of curiosity, innovation, and continuous improvement.
• Partner with product and operations teams to launch new features and ensure customer success.
• Contribute to Guidewire’s transformative innovation initiatives, including the infusion of GenAI and automation into our data platform.
• 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.

• 8+ years’ experience in a Senior Software Engineer role within a data platform or data engineering team.
• 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.
• Advanced experience with Spark (preferably EMR), Java and/or Scala, and the modern Big Data ecosystem (Kafka, Hadoop, Flink, Hive, etc.).
• Proven track record building and operating large-scale, cloud-native data platforms or analytics SaaS services in a public cloud environment (AWS, Azure, or GCP).
• Strong problem-solving skills, with a focus on secure, scalable, and reliable software engineering.
• Excellent collaboration and communication skills, thriving in a highly cross‑functional, agile environment.
• Commitment to operational excellence, security, and customer‑centricity.

In your first six months, you’ll design and deliver critical enhancements to our cloud data platform, optimize real-time data processing pipelines, and help launch new analytics features that drive measurable value for our customers. Your work will directly support Guidewire’s goals of operational excellence, transformative innovation, and customer success, while advancing the adoption of AI and cloud technologies across the organization.

Over time, your contributions will shape the future of insurance technology and empower teams across Guidewire to deliver best-in-class solutions.

• 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 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 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…