Explicitly requires vibe coding skills; listing specific vibe tools like Claude Code, Codex, Copilot, Windsurf, and Cursor.
About the Role
Join the engineering team building Splunk Observability Cloud's intelligent backbone to research, develop, and deploy scalable ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. The role focuses on applying generative and agentic AI to productionize trustworthy, resilient AI features for cloud-native and hybrid environments.
Job Description
Role
Build and deploy core analytical components for Splunk Observability Cloud focused on streaming anomaly detection, predictive intelligence, and automated root-cause analysis at petabyte scale. Apply generative and agentic AI to enable AI features and collaborate across engineering and product teams to evaluate AI system trustworthiness and resilience.
Key Responsibilities
- Research, design, and implement enterprise-grade, scalable ML systems and full-stack real-time analytics.
- Apply Generative AI and Agentic AI techniques to enable AI features in the product.
- Collaborate with cross-functional teams to define frameworks for evaluating AI trustworthiness and resilience.
- Deliver production-ready solutions for RAG and agentic products, and integrate them into observability workflows.
Minimum Qualifications
- Master’s degree in computer science or related field with 4+ years of software engineering experience, or a bachelor’s degree with 7+ years of experience.
- Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP).
- Experience with container orchestration (e.g., Kubernetes, Docker).
- Experience with API design and frameworks (OpenAPI, GraphQL, gRPC, REST).
- Prior experience delivering RAG and agentic products into production.
- Expert proficiency with vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is required.
Preferred Qualifications
- Strong problem-solving skills and ability to analyze complex requirements.
- 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.
Compensation
- Posted starting salary range for U.S./Canada locations: $165,000.00 to $241,400.00. Additional location-specific ranges are provided in the original posting.
Benefits (high-level)
- Medical, dental, and vision insurance; 401(k) with Cisco matching; paid parental leave; short- and long-term disability; basic life insurance.
- Eligibility for restricted stock unit grants and potential annual bonuses.
- Paid time off including holidays, birthday and wellness days, vacation, sick time, and volunteer days.