Senior Software Engineer - San Mateo, CA

Guidewire provides market-leading software for the second-largest financial services industry in the world: insurance. We build the core applications that Property and Casualty (P/C) insurers use to create their products, sell policies, settle claims, and bill their customers. We deliver SaaS solutions via Guidewire Cloud that enable our customers to rapidly innovate and drive measurable ROI. Guidewire Cloud is powered by the highly resilient Amazon Web Services (AWS) cloud infrastructure, with SLAs backed by experienced Guidewire teams and SaaS-certified partners spanning application management, system administration, security and compliance, upgrades, QA testing, health checks, and other services.

Enabling the GW Cloud is a Microservice Platform that provides the platform and tools to power our DevOps delivery model, along with tools for measuring value of overall cloud platform delivery based on velocity of development and delivery of stable, secure, scalable solutions. It also includes common services that are leveraged by products throughout the product portfolio. In this role, you will be responsible to design, develop and manage our cloud based Microservices platform.


Responsibilities

  • Design, develop and support our Kubernetes Microservices platform in AWS, focusing on Infrastructure as Code and CI/CD practices
  • Exert technical influence to improve the reliability of our products and systems
  • Work in an agile team, pair programming and support deliverables in production
  • Build monitors/dashboards/log visualizations to collect metrics and learn requirements to build solutions and tools to constantly improve availability, performance, up-time and response times of the platform
  • Operate development and high-available production environments in AWS
  • Ability to rapidly absorb new technologies and have the desire to work in a fast-paced environment
  • Coach and mentor other engineers technically. Ability to lead the team for results.


Desired Qualifications

  • BA/BS in Computer Science or equivalent industry technical skills
  • 8+ years of work experience in a SaaS production environment for large-scale enterprise
  • Experienced in building platform software using Kubernetes, Docker, Cloud native technologies
  • Strong experience in using public cloud providers, preferably AWS
  • Good understanding of the network paradigms and stacks available
  • Comfort with Linux system administration, with the ability to program/script using Go, Python, Java or equivalent
  • Have Agile, systematic problem-solving approach, coupled with strong interpersonal skills and a sense of ownership and drive
  • Experience in designing, analyzing and solving problems for large-scale distributed systems

Passionate about quality, mentoring junior candidates and in general a great team player





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