Software Engineer

Guidewire Software

Exton (PA)

On-site

USD 86,000 - 164,000

Full time

25 hours ago
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Benefits offered by this job

Health insurance
Paid time off
Bonus plan
401(k) retirement plan

Job summary

Guidewire Software in Exton, PA seeks a Software Engineer to design and develop scalable data platforms and analytics SaaS services in the public cloud, using Spark, Iceberg, Kafka, AWS Redshift, and EMR. You will help transform insurance technology with AI and data-driven insights.

You’ll collaborate across teams to deliver reliable, secure solutions, participate in the full SDLC, and foster a culture of learning and innovation while advancing Guidewire’s cloud-native data strategy for P&C

Qualifications

  • 0-2+ years’ experience in a Software Engineer or similar role.
  • 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.

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 Spark, Iceberg, Kafka, AWS Redshift, and AWS EMR.
  • 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).
  • 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.

Skills

AI applications
Distributed systems
Java
SQL
AWS services
Algorithms
Data structures

Education

Bachelor/Master degree

Tools

Spark
Iceberg
Kafka
Redshift
EMR
Terraform
Kubernetes
Iceberg
CloudFormation

Job description

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.

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.

As a Software Engineer, you will play a pivotal role in designing and developing scalable data platforms and analytics SaaS services in the public cloud. We seek expertise in the modern Big Data stack and distributed systems to help us deliver transformative innovation and operational excellence. This is an opportunity to shape the future of insurance technology, working on projects that drive measurable value and efficiency for our customers and support Guidewire’s mission to transform the industry through AI, cloud, and data platform adoption.

Job Description

What you’ll do

  • 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 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).
  • 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.

What you’ll bring

Required
  • 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.
  • 0-2+ years’ experience in a Software Engineer or similar role.
  • 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 is a plus.
  • Experience with Big Data and distributed systems.
  • Experience in the insurance or SaaS industry.
  • Familiarity with additional cloud platforms or data engineering tools.

Your Impact We believe in clarity and setting you up for success. 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 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.

What’s in it for you

The people we employ give their all, and in return, we offer flexibility wherever we can, such as:

  • 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.

At Guidewire, you’ll help transform the way the world’s P&C insurers do business, contributing to our wider mission of delivering innovative, data-driven, and customer-centric solutions.

The US base salary range for this full-time position is $86,000 - $164,000. 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 bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

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.

Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at accommodations-gw@employ-ability.org.uk, our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.

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