Technical Architect - Cloud Data Platform- Bengaluru

Key Skills

Aartificial intelligence, Amazon EMR, Amazon Simple Storage Service (S3), AWS, AWS Glue, AWS Kinesis, Azure, Cloud computing, Effective communication skills, Google Cloud Platform (GCP), PaaS, SaaS

Job Description

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.

Required Skills:

• Proficiency in working with major cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or others.
• Extensive experience with Big Data and distributed systems
• In-depth experience of building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive ..) on public cloud
• Extensive experience in building Monitoring and Observability features for cloud services (Infrastructure and Application) with ELK, Datadog and other tools.
• Extensive experience in designing and implementing secure architecture for cloud services using principle of least privilege and defense in depth.
• Excellent programming skills in Java, Scala, Python
• Experience with data processing using Spark or Flink
• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms)
• Deep understanding of Algorithms, software engineering principles and Performance Optimization Techniques
• Stay updated with latest advancements and passionate about technology
• Comfortable working with Kubernetes, Docker and Terraform.

What you would do:

• Design, develop and run cloud native data platform and analytics SaaS services
• Own architecture and provide technical leadership to multiple teams. Collaborate with architects and senior engineers across organization
• 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 for your services
• Troubleshoot complex production issues and restore services to meet SLA
• Mentor other developers in best practices

What you would need to succeed:

• Prior experience in building large scale multi-tenant cloud native data platforms
• Emphasize team wins over individual success
• Effective communication and collaboration skills to work with cross-functional teams and translate business needs into technical solutions.
• Have developed in more than one language and ready to pivot to any language/framework
• Understand Serverless function and their relevant use
• Ability to work in an agile fast paced environment.
• BS or MS degree (Computer Science or Math).
• 15+ years relevant work experience with 5+ years on SaaS domain
• Refer to ‘Required Skills’ section more details

Bonus:

• Experience of building SaaS/PaaS on AWS/GCP/Azure
• AWS (EMR, S3, Glue, Kinesis..)
• ELK
• AI/ML