Infrastructure Engineer, AI-Native Platform | Remote

Obvious, Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Obvious, Inc. is seeking an Infrastructure Engineer to design AI-native infrastructure, pipelines, and tooling that empower engineers and agents. You will own model serving, inference infrastructure, and robust telemetry to ensure reliability in non-deterministic AI workloads.

You’ll implement scalable, automated pipelines with strong emphasis on observability and on-call excellence, building tools that reduce toil and accelerate internal platform velocity.

Qualifications

• Infrastructure is the product; experience building AI-native infra tooling.
• Experience with model serving, inference infrastructure, and LLM-ops guardrails.

Responsibilities

• Make deployments boring (in the best way possible).
• Own CI/CD pipelines: optimize build times, improve caching, reduce flakiness.
• Evolve our Kubernetes (EKS) deployment strategy for reliability and speed.
• Build and harden the infrastructure behind model serving, inference, and agent tooling—not just the app layer around them.
• Extend our telemetry with better instrumentation, smarter sampling, and actionable dashboards, including eval pipelines and LLM-ops guardrails.
• Build alerting that catches actual problems and ignores noise.
• Make the feedback loop from code to production as fast as possible.
• Improve preview environments, local dev tooling, and testing infrastructure.
• Eliminate toil through thoughtful automation, not another dashboard nobody reads.
• Be the engineer who makes other engineers—and agents—faster.

Skills

Kubernetes

Rust or Go

Terraform

Observability

On-call experience

Tools

OpenTelemetry

Datadog

Dash0

distributed tracing

metrics collection

structured logging

CI/CD tooling

Job description

Obvious, Inc. is seeking an Infrastructure Engineer to design AI-native infrastructure, pipelines, and tooling that empower engineers and agents. You will own model serving, inference infrastructure, and robust telemetry to ensure reliability in non-deterministic AI workloads.

You’ll implement scalable, automated pipelines with strong emphasis on observability and on-call excellence, building tools that reduce toil and accelerate internal platform velocity.