Location: India - Bangalore
Employment Type: Full-time
Team: Product Development Operations
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.
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
5+ 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)
AWS (EMR, S3, Glue, Kinesis)
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including 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.