Are you passionate about testing and automating large scale multi-tenant cloud-native data platforms Do you have prior experience in testing data platform/data lake and analytics SaaS services in the public cloud Do you have knowledge in modern Big Data stack (Kafka, Hadoop, Spark, Hive), Java, and/or python
Come join our Data platform and Analytics team. This team owns, builds, and operates Guidewire's cloud native data platform and analytics SaaS offerings. Guidewire data platform is an enterprise-grade, internet-scale, and cloud-native Big Data platform targeted to be best-in-class in enabling our customers with mission critical insights and decision-making capabilities. The platform is designed to support all of our analytics, data science, and data applications. Guidewire's data platform already processes Billions of real-time data to provide rich set of AI/ML SaaS solutions! You will work in a highly collaborative environment building next-generation platforms and services using the latest and greatest cutting-edge & bleeding-edge technologies. You will have fun building cloud-native, enterprise-grade, and internet-scale data platforms and SaaS applications.
Required Skills
- Extensive experience with testing and automation.
- Prior experience in testing data platforms using automation
- Good programming skills in Java, python or any scripting language
- Expertise in REST API testing and automation
- UI testing and automation
- Eager to learn new things and passionate about technology!
- Comfortable working with Kubernetes, Docker
What you would do
- Develop test automation for cloud-native data platform and analytics SaaS services
- Participate in Agile development process and work closely with developers and product owners to test/automate features as they're built with-in a sprint
- Hands-on automation 90% of the time
- Test and Automate micro-services and analytics SaaS solutions
- Drive testing and automation for Continuous Integration (CI) and Continuous Deployment (CD) of services
What you would need to succeed
- 5 to 7 years of required work experience
- Prior experience and passion for automating large scale multi-tenant cloud-native data platform
- Emphasize team wins over individual success
- Strong technical interpersonal skills to collaborate with Dev/PM/Operations team
- Good programming skills in Java or scripting languages.
- Expertise testing in Spark, Kafka, and Hadoop ecosystem (AWS)
- Experience with containers technology
- Ability to work in an agile fast-paced environment
- BS or MS degree (Computer Science or Math)
About Guidewire
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. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
