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
- 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.
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
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.
Qualifications
- 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.
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.
Preferred Qualifications
- 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
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
Accommodations@guidewire.com. Accommodations@guidewire.com
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.