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Role

Join the engineering team building the intelligent backbone of Splunk Observability Cloud to research, develop, and deploy core analytical components for streaming anomaly detection, predictive intelligence, and automated root-cause analysis at petabyte scale. The role emphasizes applying Generative and Agentic AI to enable AI features, ensuring trustworthiness and resilience of AI systems, and delivering production-grade ML capabilities across cloud-native and hybrid environments.

Key Responsibilities

• Design, build, and operate scalable cloud-based systems and ML-driven analytical components.
• Apply Generative AI and Agentic AI techniques to enable AI features within the product.
• Collaborate across engineering and product teams to establish frameworks for evaluating AI trustworthiness and resilience.
• Provide technical leadership, mentorship, and establish practices for development, testing, and artifact management.
• Deliver end-to-end ownership of features, including architecture, implementation, deployment, and monitoring.

Minimum Qualifications

• Master’s degree in computer science or related field with 7+ years of software engineering experience, or a bachelor’s degree with 10+ years of experience.
• Experience designing and building scalable cloud-based systems on AWS, Azure, or GCP, including container orchestration (e.g., Kubernetes, Docker).
• Proven 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 use of vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor).
• Up-to-date knowledge of Agentic and Generative AI industry 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 logs.
• Background in observability, generative AI, or model robustness.

Benefits (selected)

• Medical, dental, and vision insurance
• 401(k) plan with Cisco matching contribution
• Paid parental leave
• Short- and long-term disability coverage and basic life insurance
• Eligibility for Cisco restricted stock units (RSUs)
• Paid holidays, floating holiday, birthday paid day off, year-end shutdown, and personal wellness days
• Paid vacation (non-exempt: 16 days; exempt: flexible vacation policy)
• 80 hours of sick time on hire and annually, with carryover
• Optional paid volunteer days
• Eligibility for annual bonuses (non-sales) and incentive pay for sales roles