Job Description :

Guidewire Software is the platform trusted by 540+ P&C insurers across 40+ countries to engage, innovate, and grow efficiently.

We combine Digital, Core, Analytics, and AI to deliver our platform as a cloud service. With 1600+ successful implementations and the largest R&D team in the industry, we are transforming how insurers operate globally.

About the Team :

Join our Data Platform & Analytics team, where we :

- Design & build cloud-native data platforms

- Deliver mission-critical insights for insurers

- Build secure, scalable, and reliable SaaS services

- Drive innovation using AI and modern engineering practices

- You will play a pivotal role in building next-generation analytics SaaS services that power Guidewires industry-leading cloud platform.

What you will bring :

Required :

- Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

- 2.7+ years of software engineering experience, including building and operating cloud-native SaaS or data platform services in production.

- Strong programming skills: Python

- Hands-on experience with AWS and its native services (for example EMR, Redshift, MSK, RDS, DynamoDB, SNS, SQS, Athena, IAM) and a solid understanding of how to run them reliably, securely, and cost-effectively at scale.

- Practical experience with monitoring and observability tools (for example Datadog, OpenTelemetry, ELK) and building actionable dashboards and alerts that improve platform reliability.

- Experience with container and orchestration technologies such as Kubernetes, and familiarity with IaaS abstractions like Kubernetes-based platforms, Cloud Foundry, or OpenShift.

- Knowledge of open data and table formats such as Parquet and Iceberg, and experience with data pipelines and batch or stream processing.

- Proven problem-solving skills, ownership mindset, and ability to thrive in a fast-paced, highly collaborative environment.

Preferred :

- Experience designing or operating large-scale, multi-tenant data platforms or data lakes in the public cloud, with a focus on performance, reliability, and scalability.

- Background in building CI/CD pipelines and deployment automation for data or platform services, including infrastructure-as-code practices.

- Experience with securing cloud-native data services (for example encryption, access controls, secrets management, auditability) in line with enterprise and regulatory requirements.

- Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.