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Posted : Sunday, March 31, 2024 07:04 AM
Are you passionate about building internet-scale multi-tenant cloud native data platforms? Do you have prior experience in building data platform / data lake, analytics SaaS services, and supporting infrastructure 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 Extensive experience with Big Data and distributed systems Ability to design large scale distributed systems Prior experience in building observability and proactive monitoring on public cloud Prior experience with logging and metric processor and forwarder technologies.
Prior experience with AWS (CloudFormation, CloudWatch, EC2, ECS, EKS, ELB, Fargate, IAM, Route53, S3, Metricstream) 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 Design, develop and run cloud-native data platform and analytics SaaS services Own architecture and provide technical leadership to multiple teams Hands-on coding>60% 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 Mentor junior developers in standards and best practices! What you would need to succeed 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 with experience in one or more of the following technologies: Fluent Bit, Terraform, Cloud Formation Extensive experience with Big Data and distributed systems.
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) 5+ years of required work experience Nice to have Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive .
.
) on public cloud Excellent programming skills in Java Solid understanding of redshift or similar petabyte-scale data warehouse service in the cloud Experience with stream processing using Spark or Flink AWS (Athena, EMR, Glue, Kinesis.
.
) ELK, Datadog Experience of building SaaS/PaaS on AWS/GCP/Azure.
.
AI/ML Our salary ranges are determined by role, level, and location.
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
We also pride ourselves on being a pay for performance company.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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 540+ insurers in 40 countries, 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 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry.
Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.
guidewire.
com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc.
is proud to be an equal opportunity and affirmative action employer.
We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success.
Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Disability Accommodations and Guidewire’s Appeals Process.
Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions.
Accommodation requests should be directed to (650) 356-4940 or Accommodations@guidewire.
com.
If things do not go as hoped, we invite you to use our appeals process.
Guidewire promises to independently review any denied accommodation and any decision not to offer you the position.
The appeals process is the same in either case.
Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail Accommodations@guidewire.
com to make an appeal.
Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
.
), 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 Extensive experience with Big Data and distributed systems Ability to design large scale distributed systems Prior experience in building observability and proactive monitoring on public cloud Prior experience with logging and metric processor and forwarder technologies.
Prior experience with AWS (CloudFormation, CloudWatch, EC2, ECS, EKS, ELB, Fargate, IAM, Route53, S3, Metricstream) 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 Design, develop and run cloud-native data platform and analytics SaaS services Own architecture and provide technical leadership to multiple teams Hands-on coding>60% 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 Mentor junior developers in standards and best practices! What you would need to succeed 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 with experience in one or more of the following technologies: Fluent Bit, Terraform, Cloud Formation Extensive experience with Big Data and distributed systems.
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) 5+ years of required work experience Nice to have Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive .
.
) on public cloud Excellent programming skills in Java Solid understanding of redshift or similar petabyte-scale data warehouse service in the cloud Experience with stream processing using Spark or Flink AWS (Athena, EMR, Glue, Kinesis.
.
) ELK, Datadog Experience of building SaaS/PaaS on AWS/GCP/Azure.
.
AI/ML Our salary ranges are determined by role, level, and location.
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
We also pride ourselves on being a pay for performance company.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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 540+ insurers in 40 countries, 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 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry.
Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.
guidewire.
com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc.
is proud to be an equal opportunity and affirmative action employer.
We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success.
Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Disability Accommodations and Guidewire’s Appeals Process.
Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions.
Accommodation requests should be directed to (650) 356-4940 or Accommodations@guidewire.
com.
If things do not go as hoped, we invite you to use our appeals process.
Guidewire promises to independently review any denied accommodation and any decision not to offer you the position.
The appeals process is the same in either case.
Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail Accommodations@guidewire.
com to make an appeal.
Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
• Phone : (650) 356-4940
• Location : San Mateo, CA
• Post ID: 9003736131
