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San Jose, CA Full Time Posted by: Cisco Systems Posted: Sunday, 25 January 2026
 
 
Meet the team

Join the engineering team building the intelligent backbone of Splunk Observability Cloud. We are committed to leveraging the latest advancements in data science and machine learning to unlock unprecedented value from massive volumes of telemetry-metrics, traces, and logs-at petabyte scale. This role involves researching, developing, and deploying core analytical components focused on streaming anomaly detection, predictive intelligence, and automated root-cause analysis.

Your Impact
  • Apply the latest Generative AI and Agentic AI to enable AI features in Splunk Observability
  • Collaborate across engineering and product teams to establish robust frameworks for evaluating AI systems' trustworthiness and resilience.
Minimum Qualifications
  • Master's degree in computer science or related field and 4+ years of software engineering experience, or bachelor's degree with 7+ years of experience.
  • Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP), including container orchestration (eg, Kubernetes, Docker).
  • Experience with API design and frameworks (eg OpenAPI, GraphQL, gRPC, REST, etc.)
  • Prior working experience in delivering RAG and Agentic products into production
  • Expert at using vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is a must
Preferred Qualifications
  • Exceptional problem-solving skills, with the ability to analyze complex requirements and propose effective solutions.
  • Experience developing, deploying, and maintaining applications in AWS environment with cloud native solutions.
  • Experience monitoring and analyzing metrics, trace, span, and log content
  • Background in observability, generative AI, or model robustness
Why Cisco?

We're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

EEO Statement

Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

San Jose, CA, United States of America
Engineering
Cisco Systems
Click apply
JS26489_25197_E2E1B821402F8259C4BCDE85B8834712
1/25/2026 6:58:38 AM
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