Software Engineer III
On-siteBengaluru, Karnataka, India
Bengaluru, Karnataka, IndiaOn-siteFull TimeInsurance SoftwareLarge
Full TimeLargeInsurance Software
Job Summary
Design, build, and operate scalable cloud-native services and pipelines on AWS and Kubernetes that power Guidewire's release and environment platforms. Implement infrastructure as code using Terraform, CloudFormation, or CDK, and evolve CI/CD workflows with GitHub Actions or TeamCity to improve deployment reliability and speed. Apply engineering best practices including TDD, GitOps, and trunk-based development while improving observability through metrics, logging, tracing, and incident response. Mentor junior engineers and collaborate with product teams to embed GenAI and automation into operations safely.
Required Qualifications
- 6+ years of experience as a software engineer, systems engineer, SRE, or platform engineer working on production systems
- Strong programming experience in at least one modern high-level language such as Java, Go, or Python, with a focus on clean, testable, and maintainable code
- Expertise in building and maintaining APIs and CLIs that follow OpenAPI best practices
- Hands-on experience with public cloud (preferably AWS), containerization and Kubernetes, and CI/CD systems such as GitHub Actions, TeamCity, or similar
- Solid understanding of how to design, build, and operate scalable, resilient, cloud-native applications and services, including patterns for fault tolerance, capacity planning, and graceful degradation
- Familiarity with DevOps/SRE practices: infrastructure as code, configuration management, monitoring and alerting, runbooks, and incident management
- A leadership mindset with a passion for learning, sharing knowledge, and helping others succeed while remaining an individual contributor
- Strong communication and collaboration skills, with an ability to work effectively in cross-functional, globally distributed, and inclusive teams
- Must be able to lift 50 lbs
Desired Qualifications
- Experience with GenAI and automation across products and operations
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