AI Observability Engineering Technical Leader

Cisco; Milpitas (CA); Vor Ort; USD 257.000 - 333.000; Vollzeit

Zusammenfassung

Cisco Systems, Inc. is advancing its Observability Engineering initiative to standardize tracing, logging, and metrics across the AI software platforms.

You will help instrument services and implement OpenTelemetry to enable reliable, scalable health signals across a large microservices estate. The role focuses on delivering scalable observability tooling, guiding architecture decisions, and enabling automated health insights to surface actionable information faster than traditional dashboards

Qualifikationen

• Bachelor's degree in Computer Science, Engineering or related field; 12+ years in platform services/DevOps with observability ownership.
• Experience with Splunk Cloud and Splunk Observability for logs, metrics, and traces.
• Proficiency in Python and Go for libraries and tooling supporting observability.
• Experience with Kubernetes, OpenTelemetry collectors, Terraform, Helm, and modern SDLC practices.

Aufgaben

• Define the observability platform vision and execute it end-to-end with software teams.
• Deliver 100% coverage of distributed tracing in collaboration with development teams.
• Own and evolve OpenTelemetry enablement for Go and Python applications.
• Drive observability best practices across logging standards and cardinality management.

Kenntnisse

Distributed tracing concepts

Python programming

Go programming

Observability platforms

Terraform

GitHub workflows

Ausbildung

Bachelor's degree in Computer Science, Engineering or related field

Master's degree in related field

PhD in related field

Tools

Splunk Cloud

Splunk Observability

OTEL collectors

Kubernetes

Helm charts

Terraform

GitHub workflows

Jobbeschreibung

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 as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada

The starting salary range posted for this position is $256,900.00 to $333,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medic