Senior Security Engineer

Summary Guidewire is seeking a Senior Security Engineer to design, build, operate, and improve secure infrastructure and cloud security capabilities across an AWS-first, multi-cloud environment. The core focus of this role is AWS cloud infrastructure and CI/CD supply chain security, while also partnering across teams to address emerging security frontiers—including securing AI systems (LLMs, AI agents, and Model Context Protocol integrations) and leveraging modern AI models and technologies to enhance and automate our security capabilities. This role partners with functions across infrastructure and platform engineering, site reliability engineering and operations, product and application engineering, data and analytics, security, and other technology and business functions. The engineer translates security risks into scalable controls, automation, secure-by-default patterns, standards, and operating processes. The role is expected to independently own complex work, solve ambiguous security problems, influence stakeholders, and mentor other engineers. Job Description Responsibilities: Lead complex infrastructure security initiatives involving multiple teams, systems, and dependencies, with a primary focus on AWS cloud environments and CI/CD pipelines. Design, implement, and operate security controls across AWS and applicable cloud platforms. Build secure-by-default solutions using infrastructure as code, policy as code, CI/CD, and automation. Improve cloud governance, security posture, and operational resilience through controls for cloud organization and account structure, access management integration, policy enforcement, logging and monitoring, data protection, configuration management, network security, and account lifecycle management. Define and maintain security baselines for cloud accounts, operating systems, containers, AMIs, Kubernetes, networks, and supporting infrastructure. Support cloud account onboarding, offboarding, inventory, configuration drift management, exception handling, and control validation. Design and improve cloud and infrastructure network security, including network segmentation, traffic visibility, ingress and egress control, DNS, firewalls, routing, private connectivity, and related monitoring and enforcement mechanisms. Secure CI/CD and software supply chains, including build and deployment workflows, dependencies, artifacts, containers, registries, third-party actions, secrets, and runner environments. Support asset and identity governance for applications, infrastructure, containers, service accounts, workload identities, API keys, AI agents, and MCP tools. Participate in AI security initiatives involving next-generation AI models, agents, and tool integrations (including Model Context Protocol / MCP), driving threat modeling, prompt injection defenses, data egress protection, guardrails, human-in-the-loop controls, monitoring, and leveraging AI models to automate and enhance security operations. Apply risk-based security analysis using reachability, attack paths, asset criticality, exploitability, and business impact—not severity alone. Validate scanning-tool and AI-generated findings, establish ownership and remediation expectations, and improve finding quality feedback loops. Represent Security in architecture, change management, design review, and operational forums. Communicate risks, trade-offs, assumptions, dependencies, and business impact to technical and non-technical audiences. Create standards, runbooks, architecture decision records, dashboards, documentation, and enablement materials. Mentor engineers and help partner teams adopt secure patterns without requiring direct management responsibility. Participate in on-call rotations and incident response support for cloud and infrastructure security incidents. Monitor emerging threats and translate relevant developments into practical improvements to Guidewire’s security controls. Required Qualifications: Typically 5+ years of experience in security engineering, cloud security, infrastructure security, DevSecOps, or equivalent practical experience. Hands-on experience designing and operating secure AWS environments is required. Experience with Google Cloud Platform (GCP) is strongly preferred; experience with other cloud platforms is a plus. Experience designing or operating cloud security capabilities, including cloud governance, access management integration, policy enforcement, logging and monitoring, data protection, network security, configuration management, and cloud account lifecycle controls. Hands-on experience authoring, reviewing, testing, and troubleshooting infrastructure-as-code using Terraform, CloudFormation, or comparable technologies to deploy and manage security controls. Hands-on experience building, securing, testing, and operating CI/CD pipelines, preferably using GitHub Actions or comparable platforms, including pipeline automation, secrets management, artifact handling, and runner security. Hands-on scripting or programming experience, using Python, Go, or another appropriate language, to automate security tasks, integrate controls, and troubleshoot security tooling. Practical knowledge of cloud and infrastructure networking, including segmentation, routing, DNS, firewalls, ingress and egress controls, private connectivity, and network telemetry. Experience securing containers and Kubernetes platforms, preferably EKS or an equivalent platform. Knowledge of threat modeling, secure design, vulnerability management, security testing, risk assessment, monitoring, and incident response. Ability to evaluate security-control effectiveness using evidence, operational feedback, exceptions, findings, and relevant metrics. Demonstrated experience building, operating, or contributing to security measurement and analysis capabilities, such as asset inventories, control-coverage reporting,