Site Reliability Engineer III (Data Platform) at Guidewire – Malaysia - Kuala Lumpur | Jobyssey

Summary

The Team and the Opportunity
You will join the PDO Site Reliability Engineering (Data Platform) team that looks after the reliability and operability of Guidewire’s data platform services, including large‐scale data processing, analytics, and streaming capabilities that support our AI and Insight products.

The team partners closely with product engineering, data platform, and security to design for reliability, build automation, and run services in production.

As a Site Reliability Engineer – III (Data Platform), you will be a hands-on contributor helping to run and evolve our big data stack on AWS (and potentially other public clouds/SaaS products), using software engineering to address infrastructure and application reliability challenges. You’ll collaborate with more senior SREs to improve incident response, harden critical data paths, and enable scalable, cost‐efficient operations, directly supporting PDO’s focus on operational excellence and AI/cloud/data platform adoption.

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 PDO’s 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

4–6 years of relevant industry experience in Site Reliability Engineering, DevOps, Production Engineering, or similar roles supporting large‑scale 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 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.

Explore more jobs