Job Description
Lead technical triage for high‑impact, full‑stack production issues: investigate logs, traces, API calls, and database behavior to identify root causes quickly and implement safe, targeted hotfixes and patches.
Partner with implementation, Product, and customer success teams to unblock complex customer rollouts—designing and implementing configuration changes, REST API integrations, and data flows that align with our Product Strategy priorities around AI, cloud, and data platform adoption.
Design, build, and maintain internal tools, admin utilities, CLI scripts, and workflow automations that reduce implementation effort and time, and help teams achieve our goals for operational excellence and measurable customer value.
Expand platform observability by enhancing dashboards, alerts, and runbooks using tools like Datadog, Sentry, and CloudWatch, helping us detect and resolve issues before they affect customers and supporting our reliability and gross margin targets.
Improve and harden our CI/CD and deployment pipelines to support secure, scalable, and efficient operations that align with Product Strategy’s focus on operational excellence and cloud readiness.
Collaborate with core engineering to turn recurring field issues and customer feedback into prioritized backlog items, influencing roadmap decisions around AI‑powered features, new product categories, and global market readiness.
Communicate clearly and calmly with both technical and non‑technical stakeholders—inside Guidewire and with customer teams—translating complex technical findings into actionable next steps.
At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data‑driven insights to enhance productivity and outcomes.
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.
6+ years of experience building, maintaining, or supporting SaaS or enterprise web applications in production environments.
Strong hands‑on experience with Python (ideally FastAPI or similar frameworks) and TypeScript/React across both front‑end and back‑end services.
Proven diagnostic skills: comfortable tracing distributed requests, analyzing logs and metrics, profiling performance, and debugging complex production issues under time pressure.
Experience working in AWS‑based, containerized environments (e.g., ECS, EKS, Docker), with practical familiarity with observability tooling such as Datadog, Sentry, or CloudWatch.
Demonstrated experience building REST API integrations, CLI tools, admin portals, or workflow automations to solve operational or customer onboarding challenges.
A customer‑focused engineering mindset, with experience partnering closely with implementation, support, or customer success teams and balancing short‑term fixes with long‑term product health.
Clear, concise communication skills and the ability to document runbooks, post‑incident findings, and technical designs for diverse audiences.
Experience in enterprise or B2B platforms, ideally in cloud or data‑intensive domains; exposure to insurance or financial services is a plus.
Background working on or alongside product/platform strategy, SRE, or platform engineering teams focused on reliability, scalability, or AI‑driven capabilities.
Familiarity with infrastructure‑as‑code (e.g., Terraform, CloudFormation) and secure coding practices for multi‑tenant SaaS.
Experience contributing to roadmap discussions or influencing product direction based on production and customer insights.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
We believe in clarity and setting you up for success. In your first months, you’ll learn our platform, observability stack, and Product Strategy priorities around AI, cloud, and data, then take ownership of triaging complex production issues and leading technical resolution for key customer scenarios.
As you progress, you’ll build and evolve internal tools, automations, and observability that shorten implementation timelines, reduce incident frequency, and improve time‑to‑recovery—directly contributing to our goals of operational excellence, transformative innovation, and customer‑centricity in how insurers run on Guidewire.
Over time, your insights from the field will shape product decisions, influence how we bring new AI‑driven capabilities to market, and help Guidewire continuously transform how the world’s P&C insurers do business through our cloud platform, analytics, and AI.
Flexible work environment
Health and wellness benefits
Paid time off programs including volunteer time off
Market‑competitive pay and incentive programs
Continual development and internal career growth opportunities
Guidewire also embraces a culture of in‑person interviews for all applicants and onsite orientation for all new hires, so you can build strong relationships from day one and fully experience our inclusive, collaborative culture.
The Canadian CAD base salary range for this full-time position is 108,000.00 - 135,000.00. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.
