Senior Software Engineer - Cloud data Platform

The guidewire is an Insure-Tech Software Company with more than 3,200 people in 40+ countries worldwide. We are an Internet-scale, Cloud native, Realtime data platform built for 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 platforms/data lake and analytics SaaS services in the public cloud with expertise in modern Big Data stack (Kafka, AWS MSK, Kafka Admin, Hadoop, Spark, Flink, Hive ..)
Come join our Data platform and Analytics team. This team owns, builds, and operates Guidewire’s cloud-native data platform and analytics SaaS offerings. The 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 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.

Required Skills

• Extensive experience with Big Data and distributed systems.
• Proven experience as a Software Engineer, with a significant focus on working with Debezium for change data capture and real-time data streaming.
• Ability to design large-scale distributed systems.
• Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive ..) on the public cloud.
• Excellent programming skills in Java.
• 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!.
• Comfortable working with Kubernetes, AWS, Docker, and Terraform.

What you would do

• Hands-on coding and implementation of high-performance Spark applications, leveraging your deep understanding of distributed computing and data processing.
• Develop, test, and deploy Debezium connectors for various data sources (e.g., databases, message queues, cloud services) to enable real-time data capture.
• Collaborate with cross-functional teams to define and implement features, enhancements, and optimizations for the Debezium Integration platform
• Design cloud-native data platform and analytics SaaS services
• Own architecture and provide technical leadership to multiple teams
• Hands-on coding>30% of the time
• Design and build large-scale real-time stream processing systems
• Design and develop micro-services and analytics SaaS solutions
• Own scalability, availability, and data security
• Own, tackle & resolve code defects
• Mentor junior developers in standards and best practices!

What you would need to succeed

• Extensive experience working on a public cloud-like AWS
• Hands on experience with Debezium.
• 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)
• ELK
• Experience in building SaaS/PaaS on AWS/GCP/Azure.
• AI/ML

Be Yourself & Stay CleverAt Guidewire, we value autonomy, empowerment, and inclusivity, which is why we want each of our employees to be heard and celebrated. We’re in the business of uplifting people, so they can fulfill their goals and ambitions. So, there’s plenty of time and space for you to broaden your skills and experience.
If we've got you excited and you’re ready for a career upgrade, then we're eager to hear from you! Get in touch to learn more about