Software Engineer II (Datadog, OpenTelemetry, ELK)

Summary

Job Description

• Build and enhance monitoring and observability dashboards for Guidewires cloud-native big data platform using tools such as Datadog OpenTelemetry and ELK improving reliability uptime and incident response.

• Design and implement automation and tooling for continuous deployment and operation of multi-tenant cloud-native SaaS data services on AWS (for example EMR Redshift MSK RDS DynamoDB SNS/SQS Athena IAM) ensuring scalable high-performance data platforms.

• Develop tooling and frameworks for cost tracking optimization and performance tuning of AWS resources used by the Data Platform aligning with PDOs focus on efficient scalable operations and improved gross margin.

• Improve the incident management lifecycle by creating mechanisms to detect issues early reduce time to mitigate and capture learnings that drive higher platform reliability resilience and security.

• Optimize and troubleshoot data pipelines and storage (for example Parquet Iceberg) for speed scalability and resilience across large volumes of multi-tenant data in a cloud-native environment.

• Implement and continuously strengthen data and platform security controls including access management and secure-by-design practices for cloud-native services in partnership with platform and security teams.

• Monitor and maintain data workflows end to end ensuring data quality consistency and reliability for analytics AI and reporting use cases across Guidewires products.

• Collaborate with cross-functional teams (product engineering operations) to understand data requirements shape technical solutions and support new data-driven capabilities that help insurers modernize and thrive.

• At Guidewire we foster a culture of curiosity innovation and responsible use of AIempowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation productivity and continuous improvement.

• 5 years of software engineering experience including building and operating cloud-native SaaS or data platform services in production.

• Strong programming skills in at least one of: Python Java or Scala with experience in data processing backend systems or distributed data pipelines.

• Hands-on experience with AWS and its native services (for example EMR Redshift MSK RDS DynamoDB SNS SQS Athena IAM) and a solid understanding of how to run them reliably securely and costeffectively at scale.

• Practical experience with monitoring and observability tools (for example Datadog OpenTelemetry ELK) and building actionable dashboards and alerts that improve platform reliability.

• Strong understanding of cloud infrastructure and distributed systems concepts including networking storage operating systems and microservices architectures.

• Experience with container and orchestration technologies such as Kubernetes and familiarity with IaaS abstractions like Kubernetes-based platforms Cloud Foundry or OpenShift.

• Knowledge of open data and table formats such as Parquet and Iceberg and experience with data pipelines and batch or stream processing.

• Proven problem-solving skills ownership mindset and ability to thrive in a fast-paced highly collaborative environment.

• Experience designing or operating large-scale multi-tenant data platforms or data lakes in the public cloud with a focus on performance reliability and scalability.

• Background in building CI/CD pipelines and deployment automation for data or platform services including infrastructure-as-code practices.

• Experience with securing cloud-native data services (for example encryption access controls secrets management auditability) in line with enterprise and regulatory requirements.

• Familiarity with cost optimization strategies and FinOps practices for data and analytics workloads on AWS aligned to PDOs focus on efficient scalable operations and measurable customer value.

• Bachelors degree in Computer Science Engineering or a related technical field or equivalent practical experience.

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.