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Traversal

AI SRE platform for autonomous remediation

AI Engineer - Backend/Platform

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Strong system design skills for distributed systems.
  • Proven production-scale software engineering experience.
  • Experience with large language model-based applications and/or multi-agent systems.
  • Strong data modeling skills and a track record of writing clean, maintainable code.
  • Ability to work across research and engineering teams.

Responsibilities

  • Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.
  • Design and implement high-performance APIs to enable communication between backend systems and frontend interfaces.
  • Architect scalable distributed systems to support real-time workloads over petabytes of heterogeneous telemetry data.
  • Build live evaluation pipelines, automated scoring systems, and benchmarks to measure and drive AI performance.
  • Collaborate with AI engineers and scientists to integrate AI-driven insights and solutions into backend systems.
  • Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance.

Desired Qualifications

  • Knowledge of software incidents and production site reliability engineering workflows.
  • Prior experience with AI benchmarking or evaluation systems.
  • Experience creating quantitative scoring systems or benchmarks in new problem domains.
  • Familiarity with observability stacks, including logs, metrics, and traces, and telemetry systems.
  • Background in agentic architectures, orchestration frameworks, or applied AI research.

About the Company

Traversal

AI SRE platform for autonomous remediation

Traversal provides an AI-powered platform for site reliability engineering (SRE) and observability. Its AI SRE agent automatically detects, troubleshoots, and resolves production incidents by analyzing telemetry data (logs, metrics, traces) and performing true root-cause analysis, then orchestrates tool calls for real-time remediation and proactive health checks. It can be deployed as a standalone product or added as an intelligence layer on existing observability stacks, with options including on-premise hosting for data privacy. The company aims to move systems toward self-healing by reducing downtime and engineering stress through automated, proactive health management of complex software systems.

Company size
51-200
Company stage
Series B
Total funding
$168M
Headquarters
New York City, New York
Founded
2023

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