Observability Solutions Architect: AI-Driven Telemetry

Cisco; Kuala Lumpur; On-site; MYR 180,000 - 320,000; Full time

Job summary

Cisco is seeking an Observability Solution Architect to drive advanced telemetry and observability capabilities in a large-scale, cloud-native environment. You will design, implement, and optimize observability across multi-region distributed systems, leveraging OpenTelemetry, advanced instrumentation, and AI/ML for anomaly detection and cost optimization.

Ideal candidates will have hands-on experience with MELT, Kubernetes observability, and secure multi-tenant data architectures, and will

Qualifications

• Strong command of observability fundamentals such as MELT.
• Hands-on expertise with OpenTelemetry across instrumentation, collectors, and context propagation.
• Experience architecting large-scale distributed systems and microservices failure modes.
• Cloud-native and Kubernetes observability expertise.
• Security, privacy, and multi-tenant data isolation understanding.
• Proven integration with CI/CD, incident management, and ITSM ecosystems.

Responsibilities

• Design and implement observability solutions for large-scale systems.
• Lead deployments across multi-region environments and multi-tenant setups.
• Collaborate with CI/CD, incident management, and ITSM teams to improve reliability and performance.

Skills

Observability fundamentals

OpenTelemetry

Distributed systems

Cloud-native

Kubernetes observability

Runtime instrumentation

Telemetry ingestion

Data models

AI/ML in observability

Security & multi-tenant

CI/CD integration

FinOps alignment

Cost controls

Tools

eBPF tooling

OpenTelemetry collectors

CI/CD tools

Job description

Cisco is seeking an Observability Solution Architect to drive advanced telemetry and observability capabilities in a large-scale, cloud-native environment. You will design, implement, and optimize observability across multi-region distributed systems, leveraging OpenTelemetry, advanced instrumentation, and AI/ML for anomaly detection and cost optimization.

Ideal candidates will have hands-on experience with MELT, Kubernetes observability, and secure multi-tenant data architectures, and will