Data Engineer (DataOps & Infrastructure Focus)

Company: Guidewire

Location: Remote (Remote)

Salary: $124,000 - $186,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-05-03

About this role

United States - Remote

Product Strategy/Full time/Remote

You will join Guidewire’s Product organization, working at the intersection of data, AI, and cloud infrastructure to power our industry-leading P&C insurance platform. Our team focuses on building secure, scalable, and governed data capabilities that enable AI-infused products and analytics for customers worldwide. We collaborate across Product Development, Security, and Finance to ensure our data platform is robust, reliable, and ready for rapid innovation.

In this role, you will design and automate modern data infrastructure on AWS to support Guidewire’s AI-first Product strategy, including Agentic AI Platform initiatives and next-generation analytics experiences. You will lead DataOps practices—CI/CD, observability, and governance—for critical pipelines and data products that power our Claims, Underwriting, and pricing solutions globally. If you are excited by GenAI, large-scale data systems, and building the backbone that helps insurers operate more efficiently, this role puts you at the center of Guidewire’s mission to transform how the world’s P&C insurers do business.

Job Description

What you’ll do

Architect, automate, and maintain production-grade data infrastructure on AWS (e.g., S3, EMR, Glue, Lambda, Redshift) using Terraform or CDK, with a focus on high availability, security, and consistent environments across the SDLC.

Integrate Claude Code and other LLM-based agents into the engineering workflow to accelerate infrastructure provisioning, refactoring, and generation of technical documentation, embedding AI into daily development practices.

Design, build, and optimize CI/CD pipelines that test, deploy, and monitor dbt models and AWS Glue/Spark jobs, ensuring reliable, repeatable delivery of governed data assets.

Implement agentic operations for DataOps—configuring AI agents to triage and perform root-cause analysis of pipeline failures, surface cost-optimization signals, and proac...

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