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Traversal · 3 months ago

AI Engineer - Data Platform

New York, NY

Full-time

Onsite

Mid, Senior Level

$150K/yr - $300K/yr

Traversal is an AI Site Reliability Engineer (SRE) trusted by large enterprises to manage complex production incidents. The role involves designing, building, and maintaining backend systems for an AI-driven observability platform, ensuring reliability and performance across various deployments.

Artificial Intelligence (AI)SoftwareSoftware Engineering

Responsibilities

Architecture & Implementation: Contribute to the design and implementation of scalable, resilient infrastructure systems to power AI-driven root cause analysis and observability workflows. That must work in a variety of environments for on Premises deployments

Low-Level System Design: Work on the foundational building blocks of our infrastructure, ensuring efficient use of resources and high performance at scale

Performance Optimization: Profile and tune backend systems to improve throughput, reduce latency, and minimize bottlenecks across the stack

Observability Systems: Help build and maintain the internal observability stack—logs, metrics, and traces—used by our agents to understand and act on production issues

Hybrid Infrastructure: Support cloud and on-prem architecture to serve both SaaS and enterprise customers

Data Infrastructure: Develop and maintain low-latency, high-throughput pipelines using tools like Kafka, Postgres, and S3 for real-time telemetry workflows

Tooling & Automation: Contribute to infrastructure-as-code, CI/CD tooling, and deployment systems to increase platform velocity and stability

Cross-Team Collaboration: Work with AI, platform, and product teams to ensure smooth integration and shared reliability goals

Using Traversal Internally: Help ensure our own observability tooling supports how we debug, monitor, and operate our systems

Qualification

RustDistributed systemsPerformance optimizationLow-level system designDebuggingKafkaTerraformPythonAI familiarity

Required

Professional experience with Rust (our primary language for infrastructure), or strong systems-level programming experience in OCaml, C++, C or Zig

Experience building distributed systems using a variety of application-appropriate datastores (e.g., Postgres, object storage, etc.)

Strength in debugging across cloud infrastructure, networking layers, and production systems (instrumentation, provisioning, bug fixes, reliability improvements)

Experience with performance profiling and optimization in backend systems

Exposure to low-level system design concepts (e.g., concurrency models, storage internals, OS, and DB level tuning)