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:
This position regularly involves pair programming.
How our CCS group operates: https://medium.com/guidewire-engineering-blog/a-day-in-the-life-of-a-cloud-common-services-engineer-c67cf3debc57
What the general Interview process will be: https://medium.com/guidewire-engineering-blog/preparing-to-interview-with-guidewire-cloud-common-services-team-7d0697592929
Develop Multi-Tenant Cloud Platform that caters to running all Guidewire applications and services (Refer: https://medium.com/guidewire-engineering-blog/guidewire-cloud-why-hybrid-tenancy-is-the-right-choice-56a0ff176032, https://medium.com/guidewire-engineering-blog/guidewire-cloud-why-hybrid-tenancy-is-the-right-choice-part-2-of-2-ba22c9888bb8
Deeply involved in design and development of GWCP/ATMOS - infrastructure as code using technologies such as EKS (Kubernetes), Terraform, Golang. In addition handle Observability of the Platform (logs, metrics and traces). (Refer: https://medium.com/guidewire-engineering-blog/log-management-and-guidewire-cloud-platform-observability-73a033a34e9a)
Your Impact
We believe in clarity and setting you up for success. In your first 3–6 months, you will:
Learn the Guidewire Cloud Platform architecture and our engineering practices.
Pair with more senior engineers to deliver well-scoped features and fixes that improve reliability, performance, and automation.
Contribute to test suites, tooling, and documentation that help the team move faster and more safely.
As you grow, you’ll take on larger ownership areas within the platform, helping improve our cloud infrastructure, embedding AI into engineering workflows, and contributing to the scalability and resilience our customers depend on. Your work will directly support insurers around the world who run their businesses on Guidewire’s secure, scalable, AI-enabled cloud solutions.
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, including mentorship and access to training on cloud, Kubernetes, and AI tools
All new hires participate in our in-person orientation, which helps you build meaningful connections, understand our culture, and quickly align to Guidewire’s mission and customer-focused values.
The US base salary range for this full-time position is $86,000 - $161,000. 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.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to
[email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail
[email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
