Software Engineer

Guidewire Software

Exton, PA0–2 yrs2h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 2 years · Bachelor's degree
Must know
Business analysisJavaSQLData structures & algorithms
Nice to have
SpringAWSSparkEHR / EMR
Work
On-site in Exton
Pay
Not stated by the employer.
Skill demand
Java49%Data structures & algorithms32%SQL30%Business analysis3%of 149 similar entry-level jobs posted in the US this week
Listed
Nov 4, 2026 · still open

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About the Role

Join Guidewire’s Cloud Data Platform team, dedicated to building and operating an enterprise-grade, cloud-native data and analytics platform. This platform processes billions of real-time data points using Big Data and cloud technologies, enabling mission-critical insights for P&C insurers.

Key Responsibilities

  • Develop and maintain robust, scalable Spring Boot applications for data processing and analytics.
  • 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.
  • Collaborate with cross-functional teams to deliver secure, efficient, and innovative solutions.
  • Drive adoption of AI, cloud, and data platform capabilities.
  • 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.

Requirements & Tech Stack

  • Demonstrated ability to embrace AI and apply data-driven insights.
  • Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Ability to design and implement large-scale distributed systems.
  • Experience with AWS services.
  • Programming skills in Java and SQL.
  • 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.

Preferred

  • Proven experience building and maintaining Spring Boot applications.
  • Experience with Spark, Iceberg, Kafka, AWS Redshift, AWS EMR, Terraform/CloudFormation, Kubernetes, and other modern Big Data stack technologies in the public cloud.
  • Experience with Big Data and distributed systems.
  • Experience in the insurance or SaaS industry.
  • Familiarity with additional cloud platforms or data engineering tools.

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