Lead architect for the distributed systems that ingest, store, and analyze global network state
Design high-performance ingestion engines capable of handling trillions of telemetry points
Architect massively parallel processing pipelines and stateful stream processing frameworks
Define the multi-year architecture for a unified on-prem and telemetry ecosystem
Direct the lifecycle of network data ensuring telemetry is normalized, consistent, and optimized for large-scale AI modeling
Integrate industry-frontier practices in LLMOps
Design high-throughput, resilient pipelines for predictive AIOps
Enforce SOLID and Clean Architecture principles

Requirements

10+ years architecting distributed systems, high-scale observability platforms, or mission-critical network software
Bachelor’s degree in Computer Science or Computer Engineering, or a related field
Expert-level proficiency in Java and Go for building high-performance systems
Deep fluency in gNMI, SNMP and Flow protocols
Extensive experience architecting on Kubernetes, Jenkins and ArgoCD
Expert experience architecting distributed systems and high-scale observability fabrics
Proven experience developing AI Agents using LLMs

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaGogNMISNMPFlow protocolsKubernetesJenkinsArgoCDAIOpsLLMs

Soft Skills

leadershipcommunicationorganizational

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Engineering