Are you passionate about building large scale multi-tenant cloud-native data platforms? Do you have prior experience in building data platform/data lake and analytics SaaS services in the public cloud? Do you have expertise in modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive), Java, and/or Scala?
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’s data platform is 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. You will work in a highly collaborative environment building next-generation platforms and services.
Required Skills
- Excellent programming skills in Java and/or Scala
- Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms)
- Deep understanding of Algorithms, Data Structures, and Performance Optimization Techniques
- Experience with Big Data and distributed systems
- Eager to learn new things and passionate about technology!
- Working experience with Kubernetes, AWS, Docker, and Terraform.
- Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive) on public cloud is a plus.
What you would do
- Design, develop and run cloud-native data platform and analytics SaaS services
- Hands-on coding>90% of the time
- Design and build large scale real-time stream processing systems
- Design, develop and run micro-services and analytics SaaS solutions
- Own Continuous Integration (CI) and Continuous Deployment (CD) for your services
- Own scalability, availability, and data security for your services
- Own tackle & resolve code defects
What you would need to succeed
- 6+ years of required work experience
- Prior experience and passion for building large scale multi-tenant cloud-native data platform
- Emphasize team wins over individual success
- Strong technical interpersonal skills
- Excellent software development skills in one or more of the following languages: Java/Scala
- Experience with Big Data and distributed systems.
- Working experience with Kafka, and Hadoop ecosystem
- Understand microservices architecture patterns pattern like Service Discovery/API Gateway/Domain Driven Design etc
- Experience with containers technology
- Ability to work in an agile fast-paced environment
- BS or MS degree (Computer Science or Math)
Bonus
- AWS (EMR, S3, Glue, Kinesis)
- ELK
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 450 insurers, 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 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.
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.
