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Obvious

Member of Technical Staff – Infrastructure

Obvious

Infrastructure Engineer at Obvious building AI-native infrastructure tooling, making deployments boring and optimizing CI/CD pipelines for reliability in an AI workspace environment.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesLead💰 $220,000 - $280,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and optimizing CI/CD pipelines, Kubernetes deployment strategies, and infrastructure for AI/LLM workloads. Proficient in observability tools and infrastructure as code, with a focus on enhancing developer productivity and system reliability.

Highest-signal resume keywords
CI/CD Pipeline ManagementKubernetes Deployment StrategyTerraform Infrastructure as CodeObservability Tools ExperienceDistributed Systems Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
RustGoKubernetes InternalsTerraformDistributed SystemsModel ServingInference InfrastructureAgent ToolingEBPFBare-Metal Automation
Soft Skills
Team CollaborationProduct Management MindsetEagerness to HelpHumble AttitudeAdaptability
Tools & Technologies
OpenTelemetryDatadogDash0Distributed TracingMetricsStructured Logging
Industry Keywords
AI WorkloadsLLM-Ops GuardrailsSRE PracticesCost OptimizationSecurity Practices

Tech Stack

Tools & technologies
CloudDistributed SystemsGoKubernetesRustTerraform

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Come from a company where infrastructure was the product itself—not infrastructure work done in service of someone else's product.
  • Applied that infra background specifically to AI/LLM workloads: model serving, inference infrastructure, agent tooling, eval pipelines, or LLM-ops guardrails—working at an "AI company" alone doesn't count if the infra work itself doesn't show this lens
  • Real technical depth in distributed systems: Rust or Go, storage engines, control planes, Ceph, RDMA, eBPF, bare-metal automation, or Kubernetes internals (not just usage)
  • A proven record of exceptional achievements and impact
  • Strong Terraform skills—you've managed real infrastructure as code
  • Hands-on experience with observability tools: OpenTelemetry, Datadog, Dash0, Braintrust, distributed tracing, metrics, structured logging
  • You've been on-call, and you've built systems that made on-call better
  • You think like a product manager for internal tools, where the product is developer (and agent) productivity
  • Willingness to work hard, move fast, and grow quickly in a rapidly changing environment
  • A humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
  • Nice to have:
  • A personal or self-directed infra track record: side projects, homelabs, open-source infra tooling, published writing or talks—signal of genuine intrinsic interest, not just job history
  • Security chops: IAM, zero-trust, secrets management
  • SRE practices: SLOs, SLIs, error budgets, chaos engineering
  • Cost optimization for cloud infrastructure
  • Based in Atlanta (nice to have, not required)

Benefits

Comp & perks
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