Senior Software Engineer

Guidewire Software

Exton, PA, United States
Base: $148,000 - $222,000; bonus/equity: annual co...
Cloud-native data platforms
Big data stack
Distributed systems
Join Guidewire’s Cloud Data Platform team to build and operate enterprise-grade, cloud-native data and analytics platforms for P&C insurers

Job Summary

  • Join Guidewire’s Cloud Data Platform team to build and operate enterprise-grade, cloud-native data and analytics platforms for P&C insurers.
  • As a Senior Software Engineer, you will design and develop scalable data platforms and analytics SaaS services in the public cloud, leveraging expertise in the modern Big Data stack and distributed systems.
  • This role offers an opportunity to shape the future of insurance technology, working on projects that drive measurable value and efficiency for customers through AI, cloud, and data platform adoption.

Matching Summary

Join Guidewire’s Cloud Data Platform team to build and operate enterprise-grade, cloud-native data and analytics platforms for P&C insurers.

Salary

Base: $148,000 - $222,000; Bonus/Equity: annual company bonus plan, commissions, and/or long term incentive awards; Benefits: health, dental, and vision insurance, paid time off, retirement plan

Skills & Requirements

Must-have

  • cloud-native data platforms
  • Big Data stack
  • distributed systems
  • Spring Boot applications
  • Spark, Iceberg, Kafka, AWS Redshift, AWS EMR
  • Java and SQL programming skills
  • Kubernetes, AWS, Docker, Terraform/CloudFormation

Nice-to-have

  • embrace AI and data-driven insights
  • collaborative, innovative environment
  • passion for solving complex challenges
  • continuous learning and technical excellence
  • insurance or SaaS industry experience

Key Requirements

  • 8+ years' experience in Senior Software Engineer role
  • Demonstrated ability to embrace AI
  • Proven experience building Spring Boot applications
  • Extensive experience with Big Data and distributed systems
  • Strong ability to design large-scale distributed systems
  • Prior experience with modern Big Data stack technologies
  • Deep understanding of distributed systems concepts
  • Strong grasp of algorithms and data structures

Work Rights

Not specified

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