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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).