Software Engineer - Cloud
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Job description
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., 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., 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)
Requirements
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.
Benefits & conditions
Health insurance, Retirement plan, Paid time off, Vision insurance, Dental insurance, Volunteer time off, Opportunities for advancement, 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 $107,000 - $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.