Description
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.
As a Senior Site Reliability Engineer (SRE), you will build, operate, and continuously improve the reliability, scalability, and operational excellence of Splunk Agent Observability'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
- 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
- 7+ years’ experience with a Bachelor's degree or 4+ yrs with a Masters or 1 year with a PhD, or equivalent related experience; Experience to include at least 4 years in Site Reliability Engineering, Platform / Cloud / Infrastructure Engineering, or related fields
- 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 databases and tuning them for performance and reliability
- Experience deploying and supporting cloud and air-gapped/on-prem environments
- Strong debugging and troubleshooting skills across distributed systems
The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.