Software Engineer Cloud

Guidewire

Not Interested
Bookmark
Report This Job

profile Job Location:

San Mateo, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

Summary

You will join Guidewires 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. Youll 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. Youll contribute to microservices automation and observability and youll 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 youll 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 AIempowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What youll bring

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 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

  • Bachelors 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 buildstests 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:


Required Experience:

IC

SummaryYou will join Guidewires 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. Youll work in a collaborative agile environment alongside experienced engineers who w...
View more view more