Senior Observability Platform Engineer (GPU/AI Telemetry)

Stealthium; Stati Uniti; Remoto; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Stealthium is seeking a senior engineer to own the telemetry and observability backend for GPU and AI workloads. The role emphasizes high-throughput pipelines, performance, and reliability in a backend-heavy environment.

You will design ingestion, processing, and storage layers for time-series data, surface operational and security insights, and drive instrumentation standards across the stack while optimizing for scale, latency, and cost as data volumes grow.

Competenze

• Senior-level experience building high-performance backend, data, or distributed systems.
• Proficiency in systems languages such as Rust, Go, or C++.
• Familiarity with observability tooling, telemetry pipelines, and time-series storage systems.
• Understanding of GPU compute, AI runtimes, or other accelerated-compute environments.
• Comfort designing for scale, including streaming, sharding, and backpressure handling.

Mansioni

• Design and build the observability backend that ingests telemetry from GPU and AI runtime environments.
• Develop high-performance processing pipelines for large-scale time-series and event data.
• Implement query, storage, and aggregation layers that surface operational and security insights.
• Collaborate with research and platform teams to define instrumentation standards across the stack.
• Optimize data paths for throughput, latency, and cost as data volumes grow.
• Maintain reliability of the platform as query complexity and ingestion rates increase.

Conoscenze

Senior backend

Distributed systems

High-performance

Strumenti

Rust

Go

C++

Descrizione del lavoro

Stealthium is seeking a senior engineer to own the telemetry and observability backend for GPU and AI workloads. The role emphasizes high-throughput pipelines, performance, and reliability in a backend-heavy environment.

You will design ingestion, processing, and storage layers for time-series data, surface operational and security insights, and drive instrumentation standards across the stack while optimizing for scale, latency, and cost as data volumes grow.