Software Engineer - Cloud

Guidewire InsuranceSuite

Base: $107,000 - $161,000; bonus/equity: eligible ...
Hybrid
Proficiency in java, golang, node.js, or python
Basic understanding of rest apis and grpc
Familiarity with linux and containerization concepts
Guidewire InsuranceSuite is seeking an early-career Software Engineer for their Product Development & Operations team to contribute to their cloud platform for property and casualty insurers. The role emphasizes collaboration, learning, and the application of modern technologies like Kubernetes and AWS

Job Summary

  • You will join the Product Development & Operations organization to build and run a secure, scalable cloud platform powering P&C insurers worldwide.
  • The role emphasizes curiosity, learning, and continuous improvement within a collaborative, agile environment alongside experienced engineers.
  • In your first 3-6 months, you will pair with senior engineers to deliver features that improve reliability, performance, and automation while contributing to test suites and documentation.

Matching Summary

Match Score: 85

Guidewire InsuranceSuite is seeking an early-career Software Engineer for their Product Development & Operations team to contribute to their cloud platform for property and casualty insurers. The role emphasizes collaboration, learning, and the application of modern technologies like Kubernetes and AWS.

Salary

Base: $107,000 - $161,000; Bonus/Equity: Eligible for annual company bonus plan and long term incentive awards; Benefits: Health, dental, vision insurance, paid time off, and retirement plan

Skills & Requirements

Must-have

  • Proficiency in Java, Golang, Node.js, or Python
  • Basic understanding of REST APIs and gRPC
  • Familiarity with Linux and containerization concepts
  • Exposure to major cloud platforms like AWS, GCP, or Azure
  • Fundamental knowledge of Git, testing, and debugging

Nice-to-have

  • Experience with Kubernetes and Docker orchestration
  • Familiarity with CI/CD tools and practices
  • Exposure to observability tools for logging and metrics
  • Experience working in agile teams
  • Interest in applying AI to engineering workflows

Key Requirements

  • Minimum 1 year of professional software engineering experience
  • Demonstrated ability to embrace AI and apply data-driven insights
  • Bachelor's degree in Computer Science, Engineering, or related field preferred

Work Rights

Not specified

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