Software Engineer III
Guidewire SoftwareAbout the role
Summary
Guidewire Software is an insure-tech software company with more than 3,200 people in 40+ countries worldwide. We are an internet-scale, cloud-native, real-time data platform built for the property and casualty insurance industry worldwide.Are you passionate about building internet-scale multi-tenant cloud native data platforms? Do you have prior experience in building data platform / data lake and analytics SaaS services in public cloud with 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 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 a 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 platforms and SaaS applications
Job Description
Required Skills
5+ years' experience working in a similar Software Engineer role within a data platform/data engineering team
Excellent programming skills in Java.
Experience with Big Data and distributed systems.
Proficiency in SQL programming and database management systems
Experience working with Kubernetes, AWS, Docker, and Terraform.
Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive ..) on the public cloud.
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.
Eager to learn new things and passionate about technology!
What you would do
Design, develop and run cloud native data platform and analytics SaaS services
Design and build large scale real-time stream processing systems
Develop and run micro-services and analytics SaaS solutions
Perform test driven unit and end to end testing of any code you develop.
Own Continuous Integration (CI) and Continuous Deployment (CD) for your services
Own scalability, availability and data security for your services
Own, troubleshoot & resolve code defects
Mentor other developers in best practices.
What you would need to succeed
Extensive experience working on a public cloud-like AWS
Prior experience and passion for building a 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
Extensive experience with Big Data and distributed systems.
Expertise in Spark or Flink, Kafka, and Hadoop ecosystem
Ability to design large-scale distributed systems
Have developed in more than one language and ready to pivot to any language/framework
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)
Debezium
ELK
Experience in building SaaS/PaaS on AWS/GCP/Azure.
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