Job Description

What You’ll Do

Drive Reliability, Automation & Scale

• 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.
  

Improve Platform & Infrastructure

• Contribute to core platform systems by building features, resolving issues, and enhancing reliability.

• 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.

Observability, Incident Management & Resilience

• 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.

Security & Identity

• Design and support secure access patterns, including SSO, SAML, and OAuth-based authentication systems.

• Ensure platform services meet security and compliance standards.

Enablement & Collaboration

• 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.

Who You Are

Technical Expertise

• Strong programming skills in Python or Go (Java/Spring Boot is a plus).

• 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.

Observability & Operations

• Experience with observability platforms such as Datadog, Prometheus, OpenTelemetry, or CloudWatch.

• Familiarity with incident management practices and production support in a microservices environment.

• Experience with messaging/streaming systems (e.g., Kafka, SQS) and relational databases (e.g., Aurora, RDS) is a plus.

Security & Identity

• Working knowledge of SSO, SAML, OAuth, and identity providers (Okta is a plus).

DevOps & Delivery

• Experience with CI/CD and GitOps tools such as GitHub Actions, TeamCity, Jenkins, FluxCD, or Bitbucket.

• Comfortable working in agile environments (Scrum, Kanban).

Mindset & Collaboration

• Strong troubleshooting and problem-solving skills with a proactive, systems-thinking mindset.

• Passion for automation: “If you have to do it more than once, automate it.”

• 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.

Preferred Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

• Experience supporting large-scale SaaS platforms.

• Exposure to modern platform frameworks such as KubeVela (OAM) or Crossplane.

• AWS or Kubernetes certifications.

• Contributions to open-source projects.

Why Guidewire?

• Work on a mission-critical global platform used by leading insurers.

• Solve complex, real-world problems at scale.

• Be part of a collaborative, high-impact engineering culture.

• Opportunity to shape the future of a rapidly evolving cloud platform.

AI & Innovation at Guidewire

We foster a culture of curiosity and innovation, empowering engineers to responsibly leverage AI and emerging technologies to drive continuous improvement, efficiency, and better outcomes.