À propos de ce poste Site Reliability Engineer III (Platform) chez Guidewire
Summary
About GuidewireAt Guidewire, we make software that offers Property and Casualty (P&C) Insurance companies the tools to take care of their customers when they need it the most, whether that’s a time of crisis, a natural disaster, an accident, or exposure to cyber risks. We build the core applications that insurance companies use to sell and underwrite policies, settle claims, and bill their customers. We also have a portfolio of innovative products serving the needs of P&C insurance companies in areas such as data management, digital online portals, and predictive analytics. We run these products on the Guidewire Cloud Platform, and we help hundreds of insurance providers all over the world to handle billions of dollars of business.
We are proud to be voted a Top Cloud Employer on Glassdoor by our own employees and positioned as a market leader by industry experts like Gartner. We have a fun work environment and a culture that lives by our core values of integrity, rationality, and collegiality. We are committed to innovation, customer success, and building a collaborative, inclusive workplace where everyone can thrive.
Job Description
The Opportunity
Site Reliability Engineering (SRE) brings together software and systems engineering to design and operate large-scale, highly distributed, and fault-tolerant systems. As a Site Reliability Engineer (SRE) at Guidewire, you will join a team focused on automating tasks to enhance system efficiency and reliability. This role involves ensuring the stable operation of Guidewire's cloud platform (GWCP) and InsuranceSuite products, collaborating with developers to meet various requirements. Your work will support numerous customers and transactions daily.
To learn more about GWCP and it’s tenancy model, you can read more here: https://medium.com/guidewire-engineering-blog/guidewire-cloud-why-hybrid-tenancy-is-the-right-choice-part-2-of-2-ba22c9888bb8 .
What You Will Do
Collaborate with engineering teams to provide feedback and contribute code where needed, enhancing product functionality and resilience.
Participate in on-call rotations to ensure round-the-clock availability of services.
Design and develop tools to support always-on, follow-the-sun operations for critical production systems.
Automate deployment tasks for core products and infrastructure, maintaining a robust automation framework.
Monitor and optimize the performance of applications on the Guidewire Cloud Platform, ensuring reliability and efficiency.
Develop and maintain observability tools, metrics, and dashboards, including self-healing mechanisms for increased reliability.
Foster a culture of reliability by promoting blameless postmortems, SLO tracking, and continuous learning from incidents.
Proactively identify and address infrastructure issues to minimize business impact.
Develop system documentation and training materials to empower and educate team members.
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.
Who You Are
Skilled in programming with Python or Go for building internal tools, CLIs, and APIs; familiarity with Java and Spring Boot is a plus.
Exceptional troubleshooting skills, with a proactive, critical approach to solving complex issues.
Proficient in containerization technologies, with hands-on expertise in Docker, Helm, Kubernetes (EKS), CNI, and Ingress networking.
Strong knowledge of Kubernetes concepts (pods, deployments, services, statefulsets, ingress etc.) and the Operator pattern.
Experienced with Terraform, including developing and testing complex modules.
Advanced experience with AWS, including custom tool development using AWS SDK.
Solid understanding of Single Sign-On (SSO), SAML, and OAuth protocols; experience with Okta is a bonus.
Skilled in using observability tools such as Prometheus, OpenTelemetry, or Datadog for proactive monitoring.
Production-At-Scale support background in a heavily microservice-based world.
Prior experience with CI/CD tools like TeamCity, GitHub actions or Jenkins.
Familiar with agile methodologies, including Scrum and Kanban, to enhance software development processes.
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
Demonstrated ability to embrace emerging technologies—especially AI—and apply data-driven insights to drive innovation, productivity, and continuous improvement.
Bonus Points
Kubernetes or AWS certifications
Contributions to open source projects
Familiar with cutting edge tools like Kubevela (OAM), Crossplane for Kubernetes-native infrastructure management
#LI-AA1
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
