Explicitly requires vibe coding skills and lists tools like Claude Code, Codex, Copilot, Windsurf, and Cursor to enable Agentic and Generative AI features.
About the Role
Lead the design and development of Agentic platforms and machine learning systems for Splunk Observability Cloud, focusing on streaming anomaly detection, predictive intelligence, and automated root-cause analysis at scale. Provide technical leadership, apply Generative and Agentic AI, and collaborate across teams to deliver trustworthy, cloud-native AI features and automation.
Job Description
Role
Lead development of core analytical components for Splunk Observability Cloud, including streaming anomaly detection, predictive intelligence, and automated root-cause analysis. Drive the adoption of Generative and Agentic AI to enable AI features in the observability platform and ensure systems are trustworthy and resilient in cloud-native and hybrid environments.
Key Responsibilities
- Design, develop, and evolve Agentic platforms and machine learning algorithms for anomaly detection and prediction.
- Apply Generative AI and Agentic AI techniques to enable product AI features and production capabilities.
- Collaborate across engineering and product teams to establish frameworks for evaluating AI system trustworthiness and resilience.
- Provide technical leadership and mentorship; establish best practices for development, testing, and artifact management.
- Own end-to-end feature delivery and architecture for scalable cloud-based systems.
Minimum Qualifications
- Master’s degree in computer science or related field with 10+ years of software engineering experience, or bachelor’s degree with 15+ years of experience.
- Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP), including container orchestration (e.g., Kubernetes, Docker).
- Proven experience in technical leadership, architecture design, and end-to-end feature ownership in AI/ML or platform domains.
- Experience with API design and frameworks (OpenAPI, GraphQL, gRPC, REST).
- Prior experience delivering RAG and Agentic products into production.
- Expert-level experience with vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is required.
- Up-to-date knowledge of Agentic and Generative AI trends and frameworks.
Preferred Qualifications
- Strong problem-solving skills and ability to analyze complex requirements.
- Experience developing, deploying, and maintaining applications in AWS with cloud-native solutions.
- Experience monitoring and analyzing metrics, traces, spans, and log content.
- Background in observability, generative AI, or model robustness.
Tech & Tools (explicitly mentioned)
- Splunk Observability Cloud
- AWS, Azure, GCP
- Kubernetes, Docker
- OpenAPI, GraphQL, gRPC, REST
- RAG (Retrieval-Augmented Generation), Agentic and Generative AI techniques
- Vibe coding tools: Claude Code, Codex, Copilot, Windsurf, Cursor
Compensation & Benefits
- Posted starting salary range for U.S. and/or Canada locations: $210,600.00 to $305,100.00.
- Additional location-specific ranges listed for certain U.S. areas (e.g., NYC Metro $210,600.00–$350,800.00; Non-Metro NY & WA $189,300.00–$312,200.00).
- Benefits include medical, dental, and vision insurance; 401(k) with Cisco matching; paid parental leave; short- and long-term disability; basic life insurance; potential RSU grants; paid holidays and paid time off policies; sick time; volunteer paid days; and eligibility for annual bonuses (non-sales roles).