Senior Software Engineer - Observability / Runtime Systems

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

**Role overview**

This senior engineering role focuses on the telemetry and observability systems that make GPU and AI workloads legible to operators and security teams. The work centers on high-throughput pipelines that collect, process, and surface signals from accelerated-compute environments at scale. It is a backend-heavy position with a strong emphasis on systems performance and reliability.

**Responsibilities**

• - 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

**Requirements**

• - Senior-level experience building high-performance backend, data, or distributed systems
• - Strong 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