Site Reliability Engineer - Guidewire Cloud Platform

7 hours ago

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Guidewire Software

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Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Unified digital, core, analytics, and AI

1001 - 5000

💰 $750k Series C on 2008-03

Description

• At 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. • 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. • 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.

Requirements

• 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. • 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.