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Software Engineer - Cloud

Guidewire Software
San Mateo, United Statesfull_timeVerifiedPosted 23 Mar 2026
💰 $161,000/yr($107,000/yr$161,000/yr)

About the role

Summary

You will join Guidewire’s Product Development & Operations (PDO) organization, the team responsible for building and running our secure, scalable, and efficient cloud platform that powers P&C insurers worldwide. You’ll work in a collaborative, agile environment alongside experienced engineers who will help you grow your skills in cloud, Kubernetes, and modern software engineering practices. Our culture emphasizes curiosity, learning, and continuous improvement.

As an early-career Software Engineer – Cloud, you will help design, build, and support components of the Guidewire Cloud Platform on Kubernetes and AWS, with guidance and mentorship from senior engineers. You’ll contribute to microservices, automation, and observability, and you’ll be encouraged to use AI and data-driven insights in your day-to-day work. This role is a strong foundation for a long-term engineering career in cloud and platform development.

Job Description

What you’ll do

  • Contribute to the design and development of microservices and platform components that power Guidewire Cloud Platform, using Kubernetes and AWS as core technologies.

  • Implement features and fixes in collaboration with senior engineers, following established coding standards, design patterns, and security best practices.

  • Help build and improve tools and automation that support deployment, scaling, monitoring, and maintenance of distributed cloud services.

  • Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability as part of our CI/CD pipelines.

  • Assist in improving observability through logging, metrics, and tracing to help teams detect, debug, and resolve issues more quickly.

  • Participate in code reviews, design discussions, and agile ceremonies, learning from peers while contributing your own ideas and perspectives.

  • Learn and apply 12-factor app and microservices principles, and help evolve standards for APIs and service integration as you grow in the role.

  • 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.

  • Minimum 1 year of professional software engineering experience (or equivalent combination of internships, co-ops, or substantial projects).

  • Proficiency in at least one modern programming language such as Java, Golang, Node.js, or Python.

  • Basic understanding of REST APIs and/or gRPC and how services communicate in a distributed system.

  • Familiarity with Linux and containerization concepts (Docker or similar) and interest in learning Kubernetes.

  • Exposure to at least one major cloud platform (AWS, GCP, or Azure) through coursework, internships, or prior roles.

  • Fundamental knowledge of software engineering best practices: version control (e.g., Git), testing, debugging, and documentation.

  • Strong problem-solving skills, curiosity to learn new technologies, and a collaborative mindset in team environments.

Preferred

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

  • Experience (coursework, projects, or internships) with Kubernetes, Docker, or other container orchestration tools.

  • Familiarity with CI/CD tools and practices (e.g., automated builds,tests, and deployments).

  • Exposure to observability tools (logging, metrics, tracing) and interest in building reliable distributed systems.

  • Experience working in agile teams or participating in team-based software projects.

What you should know about this role: