DevOps Engineer

Zofai โ€” United States ยท Posted ~1 day ago

Senior Full-time Onsite

Skills

Kubernetes Container orchestration CI/CD Infrastructure management Observability Containers

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Summary

A DevOps position responsible for building and operating infrastructure platforms that support large-scale workloads. The role focuses on orchestration, deployment pipelines, security isolation, monitoring, and cost efficiency.

Highlights

Foundational engineering role with ownership of scalable infrastructure, automation, reliability, and performance optimization in an advanced technology environment.

Description

All roles San Francisco, CA DevOps Engineer San Francisco, CAFull-timeMid to SeniorOn-site Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment. Must be able to run infrastructure for large agent workloads and use AI tools to automate operational work. Compensation Competitive salary Plus meaningful equity Apply for this role About This Role Zof AI is seeking a DevOps Engineer to run the infrastructure that lets fleets of sandboxed agents execute customer code safely and cheaply. This role owns the execution layer of our control plane: Kubernetes and container orchestration, CI/CD pipelines, hard isolation for untrusted code, observability, and the cost controls that keep large agent fleets affordable. If you have worked as a Site Reliability Engineer, Platform Engineer, Cloud Engineer, or Infrastructure Engineer, this is that discipline at Zof AI. The ideal candidate has operated production infrastructure at scale and treats security, reliability, and cost per agent run as constraints they personally own. Responsibilities Design and operate the sandboxed environments where agents reproduce defects and validate fixes.Own Kubernetes, container, and compute infrastructure end to end.Build CI/CD pipelines that let engineers ship safely many times a day.Harden isolation boundaries so untrusted customer code stays inside its sandbox.Instrument fleet health with metrics, logs, tracing, and alerting that catch failures early.Drive down cost per agent run through scheduling, autoscaling, and capacity work.Automate provisioning, deployment, rollback, and environment management.Partner with engineers to make infrastructure fast and safe to build on. Requirements Experience running production infrastructure on a major cloud platform.Working knowledge of Kubernetes, containers, and orchestration.Experience building CI/CD pipelines, deployment automation, and infrastructure as code.Familiarity with observability, monitoring, and on-call practice.Judgment about security, reliability, and cost trade-offs.Daily use of AI tools to automate operational and engineering work.Clear written and verbal communication.Comfort operating in a fast-moving environment. Nice to have Experience with sandboxing or multi-tenant isolation tooling such as gVisor or Firecracker.Experience with Terraform, Pulumi, or similar infrastructure as code tooling.Experience running large batch or job-based workloads cost efficiently.Experience in early-stage infrastructure or platform teams. DevOpsKubernetesCI/CDCloud InfrastructureReliability What we provide in San Francisco MacBook Pro Premium AI development tools Cursor Ultra Claude Code Ultra OpenAI Codex Max or equivalent advanced AI tooling Access to a high-performance AI product environment Close collaboration with leadership, engineering, and customers Opportunity to work in the San Francisco AI ecosystem Wellness and productivity support where applicable Competitive startup environment High ownership Direct product impact Benefits may depend on role and final offer terms. Apply Apply for DevOps Engineer This application is for the DevOps Engineer role in San Francisco, CA. Please complete every required field. You are applying for DevOps Engineer San Francisco, CA Company website 1 Basic information Full name* Email* Phone or WhatsApp number* Current location* City and country 2 Professional links LinkedIn URL* GitHub URL* Portfolio or personal website (optional) Resume or CV link* A link to Google Drive, Dropbox, LinkedIn, your website, or a PDF 3 Role-specific background Years of experience* Strongest programming languages Best project link (optional) AI tools you use Comfort with frontend Select a levelBeginnerIntermediateAdvancedExpert Comfort with backend Select a levelBeginnerIntermediateAdvancedExpert Comfort with databases Select a levelBeginnerIntermediateAdvancedExpert Comfort with AI coding tools Select a levelBeginnerIntermediateAdvancedExpert Systems or products you have worked on 0/3000 4 Location fit Are you able to work from or relocate to the San Francisco area for this role?* Select an answerYesOpen to it, with details belowNo Earliest start date or availability* Relocation or work authorization note (optional) 5 Written responses Why are you interested in Zof AI?* 0/3000 Why are you interested in this location?* 0/3000 What is the strongest evidence that you would succeed in this role?* 0/3000 What is the hardest thing you have built, sold, owned, or led?* 0/3000 How do you currently use AI tools in your work?* For example, describe a project where you used AI tools to build faster, improve quality, or solve a difficult technical problem. 0/3000 How did you hear about us? (optional) Education (optional) Anything else you would like us to know? (optional) 0/3000 6 Final confirmation I understand this is a location-based role and have reviewed the location requirements.* I confirm that the information I have provided is accurate.* By submitting, you agree that Zof AI may store and review your application for hiring purposes. Related roles Accra, GhanaFull-timeMid to SeniorOn-site DevOps Engineer Zof AI is seeking a DevOps Engineer to run the infrastructure that lets fleets of sandboxed agents execute customer code safely and cheaply. This role owns the execution layer of our control plane: Kubernetes and container orchestration, CI/CD pipelines, hard isolation for untrusted code, observability, and the cost controls that keep large agent fleets affordable. If you have worked as a Site Reliability Engineer, Platform Engineer, Cloud Engineer, or Infrastructure Engineer, this is that discipline at Zof AI. The ideal candidate has operated production infrastructure at scale and treats security, reliability, and cost per agent run as constraints they personally own. GHS 8,000-16,000 / month DevOpsKubernetesCI/CDCloud InfrastructureReliability View roleApply