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ArtisanArtisanSan Francisco, CA

Staff Devops Engineer

Owns full DevOps and infrastructure layer for AI agent platform, managing Kubernetes on AWS, CI/CD, observability, email deliverability at scale, security, and cost optimization. Requires 6+ years experience with deep Kubernetes/AWS expertise.

Salary not listed
On-site6+ YOEDevOps / SRE

About the role

Responsibilities

  • Own Kubernetes cluster management, scaling, resource optimization, and compute layer for AI workloads, data pipelines, and customer infrastructure on AWS.
  • Build and maintain CI/CD pipelines with automated testing, staging, rollbacks, and feature flags.
  • Implement observability: monitoring, alerting, logging, tracing with tools like Datadog, Grafana, Prometheus.
  • Manage email deliverability infrastructure: sender reputation, domain warming, DNS, IP management, SMTP.
  • Handle security and compliance: secrets management, access controls, network policies, vulnerability scanning, SOC 2.
  • Optimize costs for AI and data-intensive workloads.
  • Improve developer experience: local dev environments, fast builds, reliable deploys, documentation.

Requirements

  • 6+ years in DevOps, SRE, or infrastructure engineering owning production systems.
  • Deep Kubernetes, container orchestration, cloud-native on AWS expertise.
  • Strong CI/CD pipeline experience.
  • Infrastructure-as-code (Terraform, Pulumi) and GitOps.
  • Networking, DNS, load balancing, security fundamentals.
  • Monitoring/observability tooling experience.
  • Scripting in Python, Bash, or Go.
  • Operating databases (PostgreSQL, Redis) in production.
  • Reliability, incident response, on-call practices.

Nice-to-Haves

  • Email infrastructure at scale.
  • ML/AI workloads in production.
  • Startup infrastructure from scratch.

Skills

KubernetesAWSCI/CDTerraformGitOpsDatadogGrafanaPrometheusPostgresRedisPythonBashGo

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