Software Engineer Iii - Cloud Platform

Guidewire Software

San Mateo, CA, United States
Base: $140,000 - $210,000; bonus/equity: annual co...
Hybrid
Kubernetes and aws
Microservices architecture
Container technologies (docker, kubernetes)
Join Guidewire’s Product Development & Operations (PDO) team in San Mateo, where we are dedicated to delivering operational excellence and transformative innovation for the world’s leading P&C insurers

Job Summary

  • Join Guidewire’s Product Development & Operations (PDO) team in San Mateo, where we are dedicated to delivering operational excellence and transformative innovation for the world’s leading P&C insurers.
  • As a Software Engineer III, you will play a pivotal role in developing and enhancing Guidewire Cloud Platform, contributing to the adoption of AI, cloud, and data platform capabilities.
  • We leverage modern technologies like Kubernetes, AWS, and microservices to drive measurable value and efficiency for our customers.

Matching Summary

Join Guidewire’s Product Development & Operations (PDO) team in San Mateo, where we are dedicated to delivering operational excellence and transformative innovation for the world’s leading P&C insurers.

Salary

Base: $140,000 - $210,000; Bonus/Equity: Annual company bonus plan, commissions, and/or long term incentive awards; Benefits: Health, dental, and vision insurance, paid time off, company sponsored retirement plan

Skills & Requirements

Must-have

  • Kubernetes and AWS
  • microservices architecture
  • container technologies (Docker, Kubernetes)
  • IaaS abstractions and cloud platforms
  • automated testing
  • REST API/gRPC
  • Linux debugging

Nice-to-have

  • AI and data-driven insights
  • pair programming
  • agile ceremonies
  • knowledge sharing
  • continuous improvement

Key Requirements

  • 5+ years of relevant software engineering experience
  • Proficiency in Java, Golang, NodeJS, Python, or equivalent
  • Demonstrated ability to embrace AI
  • Commitment to proven software design principles
  • Methodical approach to distributed tracing, monitoring, and observability

Work Rights

Not specified

Tailored Resume

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