Member of Technical Staff, Infrastructure Obvious

Skills / Requirements

• Agent Tooling
• Automation
• Bare-metal Automation
• CI/CD
• Datadog
• Developer Productivity
• Distributed Systems
• Go
• Inference Infrastructure
• Infrastructure as Code
• Kubernetes
• LLM-ops Guardrails
• Model Serving
• Observability
• OpenTelemetry
• Product Management
• Rust
• Telemetry
• Terraform
• Vibe Coding

Why Apply

This role is ideal for those experienced in AI-native infrastructure, specifically in model-serving, inference, and agent tooling. You'll work with Kubernetes, CI/CD pipelines, and observability tools to enhance AI workloads.

What You'll Be Doing

You'll design and maintain infrastructure that supports AI workloads, focusing on CI/CD pipelines, Kubernetes deployment, and observability. Your goal is to optimize and automate processes to improve productivity for engineers and AI agents.

Pay and Career Growth

Obvious offers a dynamic environment with a team of world-class builders and leaders from top tech companies. The role provides opportunities for significant ownership and impact in a rapidly evolving field.

Benefits and Perks

• Collaborative Environment
• competitive salary
• Growth Opportunities
• Remote Work

Is This Role Right for You?

Original Job Description

Infrastructure Engineer

About Obvious
We’re building an AI-native workspace—an operating system for work that puts co-intelligence at the center. Start with data or an idea, describe your goal, and Obvious goes to work: running analysis, searching the web, writing documents, generating tables, designing presentations, visualizing data, building dashboards, and more.
As Steve Jobs imagined the personal computer as a bicycle for the mind, Obvious imagines AI as a garden for the mind. Less mechanical acceleration. More organic cultivation.
What if, instead of just vibe coding, you could vibe-work? What if getting from idea to done wasn’t so opaque, stubborn, and high-latency?
What if there was a way to consistently deliver work that feels like it came from the best version of you on your best day?
That’s Obvious.

Why we’re hiring for this role
We’re not looking for the traditional IT-professional profile—someone who knows Linux, box configuration, and enterprise DevOps but hasn’t rethought infrastructure for the AI era. We’re looking for an engineer who has spent their career treating infrastructure as the product itself, and who brings that lens to building AI-native infrastructure tooling.
That means owning the systems that make every Obvious engineer, and every Obvious agent, more productive: build and deploy pipelines where rolling back and forth is trivial, model-serving and inference infrastructure that holds up under real AI workloads, and the observability to know what’s actually happening in a system that’s non-deterministic by nature.
We are small and talent-dense. Among our founding team, we have world-class builders, former founders, and leaders from companies like Netflix, Google, Uber, Meta, Dropbox, Instacart, Shopify, Apple, Datadog, and Twitter (X). If you’re excited to build infrastructure that enables others—human and agent—to do their best work, join us.
In this role you will:

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
You will thrive in this role if you have:

Come from a company where infrastructure was the product itself—not infrastructure work done in service of someone else’s product. Think platforms like Vercel, Railway, Fly.io, Render, Heroku, Netlify, Supabase, Modal, or similar—ideally as an early hire or in a role with real ownership

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)

You love the talk “Simple Made Easy”
This role may not be a fit if:

Your primary identity is enterprise IT or sysadmin work—help desk, Windows/Linux administration, or network admin

Your DevOps experience is Terraform/Kubernetes/CI-CD done in service of a product company (fintech, healthtech, e-commerce, SaaS) rather than infrastructure as the product itself

You’re a pure database-administration specialist looking for that exact scope—valuable work, but a narrower role than this one

You don’t think developer experience is a first-class concern

You require highly structured requirements and aren’t comfortable with ambiguity

You’re uncomfortable with the pace and changing priorities of a startup environment

#LI-Remote