About the Role
Join the engineering team building core analytical components for Splunk Observability Cloud to research, develop, and deploy scalable ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. Provide technical leadership to apply Generative and Agentic AI, deliver production RAG/Agentic products, and establish frameworks for AI trustworthiness and resilience.
Job Description
Role
This engineering role focuses on researching, developing, and deploying core analytical components for Splunk Observability Cloud. The work centers on scalable, enterprise-grade ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis across cloud-native and hybrid environments.
Key Responsibilities
- Research and build real-time, full-stack ML solutions for metrics, traces, and logs at petabyte scale.
- Apply Generative AI and Agentic AI to enable AI features in Splunk Observability products.
- Deliver retrieval-augmented generation (RAG) and agentic products into production.
- Collaborate across engineering and product teams to define evaluation frameworks for AI trustworthiness and resilience.
- Provide technical leadership and mentorship; establish best practices for development, testing, and artifact management.
- Own end-to-end feature design, architecture, and delivery in AI/ML or platform domains.
Requirements
- Master’s degree in computer science or related field with 6+ years of software engineering experience, or bachelor’s degree with 8+ years of experience.
- Experience designing and building scalable cloud-based systems on AWS, Azure, or GCP.
- Experience with container orchestration (e.g., Kubernetes, Docker).
- Proven technical leadership, architecture design, and end-to-end feature ownership experience.
- Experience with API design and frameworks (OpenAPI, GraphQL, gRPC, REST).
- Prior hands-on experience delivering RAG and agentic products to production.
- Proficiency with modern code-assist/vibe coding tools such as Claude Code, Codex, Copilot, Windsurf, and Cursor.
- Current knowledge of Agentic and Generative AI trends and frameworks.
Preferred Qualifications
- Experience developing, deploying, and maintaining cloud-native applications in AWS.
- Experience monitoring and analyzing metrics, traces, spans, and logs.
- Background in observability, generative AI, or model robustness.
- Strong problem-solving skills and ability to analyze complex requirements.
Compensation & Benefits (summary)
- Posted starting salary range for U.S./Canada locations: $183,800.00 to $263,600.00.
- Benefits for U.S. employees include medical, dental and vision insurance; 401(k) with Cisco matching; paid parental leave; short- and long-term disability; basic life insurance; and potential grants of Cisco restricted stock units.
- Paid time off highlights: paid holidays (10 + 1 floating), 1 birthday paid day, year-end holiday shutdown, wellness days, paid vacation (non-exempt: 16 days/year; exempt: flexible program), 80 hours sick time on hire and annually, and up to 10 paid volunteer days per year.