Member of Technical Staff – Infrastructure

🕒 il y a 16 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Obvious

Site WebLinkedInTous les Emplois

11 - 50 employés

☁️ SaaS

⚡ Productivité

🏢 Entreprise

SaaS • Productivity • Enterprise

Obvious est une plateforme de travail en nuage qui centralise les outils et systèmes permettant aux professionnels de gérer leur travail et de produire un travail de meilleure qualité depuis une interface unique. Actuellement en phase alpha avec un accès anticipé, Obvious cible les travailleurs du savoir et les équipes cherchant une solution SaaS unifiée, axée sur la productivité, pour organiser les flux de travail, réduire le changement de contexte et améliorer la collaboration.

Description

• 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

🎯 Exigences

• 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)

🏖️ Avantages

• Offers Equity