Site Reliability Engineer I

Overview

Site Reliability Engineer I on the Platform team, responsible for designing, building and operating the foundational infrastructure that powers Guidewire's multi-tenant SaaS platform, with a focus on automation, reliability, scalability and operability.

What you'll do

• Design, build and operate highly reliable, scalable infrastructure for a multi-tenant SaaS platform.
• Automate deployment, provisioning and operational workflows across cloud infrastructure and applications.
• Develop internal tools, services and frameworks to improve efficiency and reduce manual effort.
• Participate in a 24x7 follow-the-sun on-call rotation to support critical production systems.
• Build features, resolve issues and enhance reliability of core platform systems.
• Partner with development teams to ensure systems meet availability, performance and scalability requirements.
• Proactively identify risks, bottlenecks and failure modes, and implement solutions before they impact customers.
• Build and maintain observability systems (metrics, logging, tracing, dashboards).
• Define and track Service Level Objectives (SLOs) and reliability metrics.
• Lead or contribute to incident response, root cause analysis and blameless postmortems.
• Drive improvements toward self-healing systems and reduced operational toil.
• Design and support secure access patterns, including SSO, SAML and OAuth-based authentication systems.
• Ensure platform services meet security and compliance standards.
• Collaborate across engineering teams, providing guidance, feedback and hands-on contributions.
• Create and maintain documentation, runbooks and training materials.
• Mentor engineers and promote best practices in reliability engineering and automation.

What you'll need

• Strong programming skills in Python or Go (Java/Spring Boot is a plus is listed separately as preferred).
• Deep experience with AWS and building/operating production systems at scale.
• Hands-on expertise with Kubernetes (EKS), Docker, Helm, CNI and Ingress networking.
• Strong understanding of Kubernetes primitives and patterns (deployments, services, operators, etc.).
• Experience with Infrastructure as Code (Terraform, Terragrunt, or similar).
• Solid understanding of Linux systems and networking fundamentals.
• Experience with observability platforms such as Datadog, Prometheus, OpenTelemetry or CloudWatch.
• Familiarity with incident management practices and production support in a microservices environment.
• Working knowledge of SSO, SAML, OAuth and identity providers.
• Experience with AWS IAM (roles, policies, IRSA), VPC security groups, and Kubernetes security primitives (RBAC, network policies, pod security standards, secrets management).
• Experience with CI/CD and GitOps tools such as GitHub Actions, TeamCity, Jenkins, FluxCD or Bitbucket.
• Comfortable working in agile environments (Scrum, Kanban).
• Strong troubleshooting and problem-solving skills with a proactive, systems-thinking mindset.
• Passion for automation.
• Excellent communication skills and ability to work across distributed teams.
• A collaborative team player who can influence, mentor and lead through technical expertise.
• Demonstrated ability to leverage AI and data-driven insights to improve productivity and outcomes.

Nice to have

• Experience with messaging/streaming systems (e.g., Kafka, SQS) and relational databases (e.g., Aurora, RDS).
• Working knowledge of Okta.
• Bachelor's degree in Computer Science or related field, or equivalent experience.
• Experience supporting large-scale SaaS platforms.
• AWS or Kubernetes certifications.
• Exposure to modern platform frameworks such as KubeVela (OAM) or Crossplane.
• Contributions to open-source projects.
• Java/Spring Boot experience.

Details

• Location: Bangalore, India.
• On-call: participation in a 24x7 follow-the-sun on-call rotation.