Site Reliability Engineer III (Data Platform)

Summary

Job Description

What You Will Do

• Collaborate with senior SREs to enhance incident response reinforce critical data paths and facilitate scalable cost-efficient operations in support of PDOs objectives for operational excellence and AI/cloud/data platform adoption.

• Support the maintenance and enhancement of production environment for data platform services to ensure high availability and performance for mission-critical workloads.

• Manage and optimize big data and streaming platforms like Kafka Hadoop Spark and Hive on AWS focusing on configuration tuning and daily operations.

• Assist in defining SLOs error budgets capacity plans and scaling strategies for data platform components to support new AI and data products.

• Participate in on-call rotations to maintain high availability of services leveraging tools like PagerDuty to triage alerts and provide technical responses to incidents impacting data and analytics platforms.

• Resolve production issues through cross-team collaboration and adherence to established incident management practices.

• Contribute to blameless post-incident reviews to develop reliability improvements runbooks and automation.

• Build and improve automation and tooling using Go Python or scripting to standardize deployment and troubleshooting for data services.

• Support CI/CD pipelines using TeamCity or Github Actions to enable safe and frequent service deployments.

• Utilize Infrastructure as Code including Terraform and AWS CloudFormation to maintain repeatable cloud infrastructure.

• Operate Kubernetes-based environments on AWS EKS managing the lifecycle and scaling of containerized data services.

• Implement progressive delivery strategies such as blue/green and canary deployments to minimize release risks.

What You Need to Succeed

Experience and Education

• 46 years of relevant industry experience in Site Reliability Engineering DevOps Production Engineering or similar roles supporting largescale distributed systems and/or data platforms.

• BS/MS in Computer Science Computer Engineering Mathematics or a related technical field or equivalent practical experience.

Technical Skills

• Experience deploying and operating services on AWS or Azure including on-call support.

• Expertise with data and streaming platforms like Kafka Hadoop Spark or Hive.

• Proficiency in Go Python or Bash for automation; Java/Spring Boot knowledge is beneficial.

• Skill in building tools and utilities using REST APIs or gRPC.

• Proficiency with CI/CD tools such as TeamCity GitHub Actions or Jenkins.

• Experience with Infrastructure as Code (Terraform or CloudFormation). Familiarity with Kubevela/Crossplane is a plus

• Working knowledge of Kubernetes (EKS) and Docker for deployment and resource management.

• Familiarity with AWS services like RDS EMR Redshift MSK and ECS.

• Experience with observability and logging tools like Datadog or ELK.

• Understanding of distributed systems networking storage and operating systems.

• Familiarity with agile methodologies like Scrum and Kanban.

• Ability to solve infrastructure problems using software engineering and participate in incident response.

• Effective collaboration skills aligned with business priorities like AI and cloud adoption.

Bonus Points

• Kubernetes/AWS certifications

• Contributions to open source projects

#LI-AA1

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 and follow us on Twitter: @GuidewirePandC.

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 its applicable to the position.