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.
Your Impact
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
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Manage infrastructure using Terraform or similar Infrastructure as Code tools
Collaborate with software engineers and customers to design secure, scalable, and reliable deployment architectures
Minimum Qualifications
8+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or a related field
3+ years' operating Kubernetes in production; experience with Helm
Experience building and maintaining CI/CD platforms and deployment automation
Experience working with AWS, GCP, or similar cloud platforms
Preferred Qualifications
Experience improving production reliability, scalability, and availability
Experience with monitoring, logging, observability, and alerting platforms
Strong scripting or programming skills in Python and/or Go
Experience with Infrastructure as Code tools such as Terraform
Experience with MLOps preferred
Solid understanding of networking fundamentals (VPCs, DNS, routing, load balancing)
Experience operating and tuning data infrastructure for performance and reliability — OLTP/OLAP databases, message queues, and object storage systems
Experience deploying and supporting cloud and air-gapped/on-prem environments
Strong debugging and troubleshooting skills across distributed systems
Ability to collaborate effectively across engineering, infrastructure, security, and customer-facing teams
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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