Staff Infrastructure & Automation Engineer

Guidewire Software

41d•$166,000 - $250,000

About The Position

Ready for a new challenge? Join Guidewire as an Infrastructure Engineer! We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market. This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry. 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.

Requirements

BA/BS in Computer Science or equivalent industry technical skills
5+ years of work experience in a SaaS production environment, ideally Enterprise
Experience in building scalable platform software using Kubernetes, Docker, and other Cloud native technologies
Strong experience using public cloud providers, preferably AWS
Strong understanding of networking and security fundamentals
Comfort with Linux system administration and scripting, e.g. Python, Shell
Experience with designing, analyzing and solving problems for large-scale distributed systems
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.

Nice To Haves

Strong communication skills, able to convey technical concepts and architectures across a variety of technical and non-technical audiences.
Experience working with globally distributed teams, with an emphasis on strong written communication for asynchronous collaboration
Experience with monitoring, troubleshooting, and optimizing data/ai/ml pipelines for reliability and performance
Exposure to Predictive Models and ML training & Serving systems

Responsibilities

Design, build, and operate cloud-based infrastructure, with a focus on Infrastructure as Code and CI/CD methodologies
Exert technical influence to improve the reliability and performance of our products and systems
Assist Product Engineering teams in building out infrastructure for prototypes and other Research & Development efforts
Operate development and high-availability production environments in Amazon Web Services
Coach and mentor other engineers and teams on cloud best practices
Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project status