Obvious · 3 weeks ago
Member of Technical Staff, Infrastructure
Obvious is building an AI-native workspace that centers co-intelligence in work processes. They are seeking a Member of Technical Staff for Infrastructure who will own and optimize the infrastructure that supports AI workloads, ensuring reliability and productivity for all engineers and agents.
Big DataCloud ComputingEnterprise SoftwareSaaSSoftwareAnalyticsCloud Data ServicesCRM
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
Qualification
Required
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
Preferred
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'
Benefits
Offers Equity
Company
Obvious
Obvious is an AI workspace platform for creating documents, apps, automations, and collaborative workflows. It is a sub-organization of Obvious.
H1B Sponsorship
Obvious has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
100%
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$94.67MKey Investors
Tiger Global ManagementScale Venture PartnersTwo Sigma Ventures
2022-09-27Series B· $50M
2021-03-10Series A· $35M
2020-05-27Seed· $7.6M
Company data provided by crunchbase