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The Splunk Agent Resilience team is defining the future of AI resilience. Our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving reliability and reducing risks. This unified approach empowers our customers to confidently deploy and manage AI-powered applications with enhanced observability and control.
As a Senior Site Reliability Engineer (SRE), you will build, operate, and continuously improve the reliability, scalability, and operational excellence of Splunk Agent Resilience's deployment platform and production infrastructure. You will own the operational backbone supporting both cloud and air-gapped customer deployments, develop automation to improve operational efficiency, and partner closely with engineering teams to deliver reliable, secure, and scalable systems.
- Operate and improve Kubernetes-based production infrastructure and deployment systems
- Own customer deployments across cloud and air-gapped environments, including installation, upgrades, troubleshooting, and lifecycle management
- Build and improve deployment observability, monitoring, logging, and alerting
- Improve reliability, scalability, and operational efficiency through automation and performance optimization
- Participate in production incident response, root cause analysis, and reliability improvements
- Tune infrastructure components—including databases and services—to improve performance and resilience
- Design and develop internal tooling using Python and/or Go
- Debug complex production issues spanning Kubernetes, networking, storage, and application layers
- Manage infrastructure using Terraform or similar Infrastructure as Code tools
- Collaborate with software engineers and customers to design secure, scalable, and reliable deployment architectures
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