Low-Latency Telemetry Backend Engineer

Aria Networks, Inc.

Palo Alto, Northern (CA, KY)

Hybrid

USD 180,000 - 240,000

Full time

8 days ago
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Job summary

Aria Networks, Inc. seeks a Server Software Engineer for Telemetry & Data Infrastructure to own backend systems ingesting, processing, storing, and delivering high-frequency network telemetry from Aria’s switch deployments at GPU-cluster scale.

You will design and operate pipelines sustaining microsecond granularity across 100,000+ GPU environments, handling vast data with strict latency budgets to support AI workloads and frontend systems.

Qualifications

  • BS/MS in Software Engineering and 5+ years of backend systems engineering with a focus on high-throughput or low-latency data infrastructure.
  • Demonstrated experience building and operating production data pipelines at scale in Go, Rust, or C++.
  • Deep familiarity with streaming architectures — Kafka, gRPC, or equivalent — including partitioning, ordering guarantees, and consumer group management.

Responsibilities

  • Design and implement high-throughput, low-latency telemetry ingestion pipelines capable of sustaining microsecond-granularity data from switch ASICs across large-scale GPU cluster deployments.
  • Architect and optimize time-series storage backends for telemetry workloads with demanding retention, cardinality, and query latency requirements.
  • Define and enforce data schemas, stream partitioning strategies, and backpressure mechanisms across Kafka or gRPC-based ingestion paths.
  • Build processing and aggregation layers that transform raw switch telemetry into structured, queryable signals for AI/ML and operator-facing systems.
  • Profile and optimize critical pipeline components for CPU efficiency, memory pressure, and tail latency at sustained high-cardinality load.
  • Collaborate with switch software engineers to define and evolve telemetry export contracts, sampling rates, and protocol bindings (gNMI, OpenTelemetry, INT, or equivalent).
  • Instrument the pipeline itself — define SLOs, build internal observability, and own reliability and data fidelity in production.
  • Drive technical decisions on storage engine selection, stream processing topology, and data lifecycle management as telemetry scope scales.

Skills

Backend systems
Latency-sensitive design
Performance profiling
Concurrency
Data pipelines

Education

BS/MS in Software Engineering

Tools

Kafka
gRPC
InfluxDB
Prometheus
ClickHouse
OpenTelemetry
gNMI

Job description

Aria Networks, Inc. seeks a Server Software Engineer for Telemetry & Data Infrastructure to own backend systems ingesting, processing, storing, and delivering high-frequency network telemetry from Aria’s switch deployments at GPU-cluster scale.

You will design and operate pipelines sustaining microsecond granularity across 100,000+ GPU environments, handling vast data with strict latency budgets to support AI workloads and frontend systems.

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