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ReductoReductoSan Francisco, CA

Infrastructure Engineer

Founding Infrastructure Engineer to architect and scale resilient systems for AI/ML workloads, implement monitoring/observability, and automate infrastructure. Requires 5+ years production experience, Python, Kubernetes, and strong reliability focus.

150k – 300k/yr
On-site5+ YOEDevOps / SRE

About the role

Core Responsibilities

  • Designing, building, and maintaining highly available, scalable infrastructure to support intensive AI/ML workloads and real-time model deployments.
  • Implementing robust monitoring, alerting, and observability systems to ensure system health, performance, and uptime across cloud and on-prem environments.
  • Debugging, optimizing, and automating infrastructure for fast iteration and rapid deployment cycles, focusing on both reliability and developer velocity.
  • Proactively identifying, investigating, and resolving incidents to minimize downtime and maintain world-class service levels for enterprise customers.
  • Collaborating closely with engineers, ML specialists, and founders to shape product, infrastructure, and security strategies.

Requirements

  • 5+ years of hands-on experience in building or supporting production-grade infrastructure and reliability processes for high-throughput systems.
  • Comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies.
  • Build your own tools on the fly to diagnose, experiment, and address reliability problems—whether it's an internal dashboard or an automated remediation workflow.
  • Quantitative, hands-on approach to system operations, automation, and continuous improvement.
  • Extremely high bar for quality and always aim for robust solutions rather than quick fixes.

Nice-to-Haves

  • Prior experience founding a company or building products/infrastructure in early-stage, high-growth environments.
  • Experience automating incident management processes with LLMs/AI.
  • Passion for open-source and contributions to reliability communities.
  • Experience building or optimizing monitoring, incident response, or high-performance computing systems for demanding AI/ML, fintech, or enterprise clients.
  • Keeping up with the latest trends in cloud, observability, and SRE best practices.

Benefits

  • Unlimited PTO
  • Free daily lunch at the office
  • Reimbursed transportation
  • Generous health insurance (medical, dental, vision)
  • Up to $150/mo health and wellness budget
  • Parental leave

Skills

PythonKubernetesCloud PlatformsNetworkingStorage TechnologiesMonitoringObservabilityAutomationIncident ResponseSre Practices

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