# AI Observability Engineering Technical Leader at Cisco

Cisco is hiring an AI Observability Engineering Technical Leader. It pays $257k-$333k a year and Level rates it Little AI ●○○○; you can [apply on Cisco](https://jobsbylevel.com/go/d31811c9-10d9-466d-903d-cd796e76fbb7?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Milpitas, California, US.

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Milpitas, California, US
- Salary: $257k-$333k
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/d31811c9-10d9-466d-903d-cd796e76fbb7?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-observability-engineering-technical-leader-at-cisco-3ed73c

## Description

The application window is expected to close on: 12/30/2026 Meet the Team The Platform and Security team within Cisco’s AI Software and Platform Group designs and operates the infrastructure that powers Cisco’s AI powered offerings, including Cisco Cloud Control, AI Defense, and AI Canvas. Within this team, the Observability Engineering group provides the metrics, traces, and logs needed to keep these services observable and ensure the most important workflows are continuously monitored. You’ll partner across the AI Software and Platform group to set observability standards, deliver platform solutions, and raise the bar for what “great” looks like in production reliability. What’s exciting: you’ll help build an agentic observability outcome where health insights can be surfaced faster and more intelligently than traditional dashboards and alerts. Your Impact You will define the observability platform vision and execute it end-to-end by partnering with software teams to instrument services correctly and consistently. You will deliver 100% coverage of distributed tracing in collaboration with development teams, ensuring tracing is implemented optimally with the right balance rather than tracing “everything.” You will own and evolve OpenTelemetry enablement—including libraries, process documents, and design patterns that accelerate adoption in Go and Python applications. You will drive observability best practices across logging standards and cardinality management, then operate the platform components (Splunk Platform/Splunk Observability, OTEL collectors, and telemetry pipelines) to keep them dependable at scale. You will advance an agentic observability outcome so agents can analyze observability health signals and deliver distilled, actionable information more rapidly than conventional monitoring. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering (or related field) +12 years working in a platform services or DevOps role, with specific ownership of observability, or Masters + 8 years of related experience, or PHD + 5 years of related experience 2+ years of experience in Splunk Cloud and Splunk Observability (or SignalFx): experience using Splunk Cloud for logging and Splunk Observability for metrics and traces. Experience with distributed tracing concepts and implementation, including instrumentation approaches and strategies for managing scope and overhead. Experience coding in Python and/or Go, including building libraries, automation, or operational tooling that supports observability platforms. Experience with distributed systems infrastructure, including Kubernetes, OpenTelemetry (OTEL) collectors, and infrastructure-as-code (e.g., Terraform), plus familiarity with Helm charts and modern SDLC practices (e.g., GitHub workflows). Preferred Qualifications Experience driving large-scale (100+ microservices) distributed tracing initiatives across an organization. Experience using AI agents to continually refine observability outcomes (e.g., detecting issues, improving routing/alerts, recommending instrumentation changes). Understanding of LLM observability, including familiarity with major providers and patterns for measuring reliability, latency, and quality signals. Deep understanding of AWS services commonly used in telemetry pipelines and distributed architectures. Why Cisco? At 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. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work

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Source: https://jobsbylevel.com/jobs/ai-observability-engineering-technical-leader-at-cisco-3ed73c

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