3 months ago
Base Salary
$150k - $300k/yr
Responsibilities
- Design, build, and maintain highly available, scalable infrastructure for intensive AI/ML workloads and real-time model deployments.
- Implement monitoring, alerting, and observability systems across cloud and on-premises environments.
- Debug, optimize, and automate infrastructure to support reliability, rapid deployment, and developer velocity.
- Identify, investigate, and resolve incidents to minimize downtime and maintain service levels.
- Collaborate with engineers, ML specialists, founders, and product teams on product, infrastructure, and security strategies.
Requirements
- 5+ years of hands-on experience building or supporting production-grade infrastructure and reliability processes for high-throughput systems.
- Comfort with Python or similar languages and experience across cloud platforms, Kubernetes, networking, and storage technologies.
- Ability to build diagnostic tools, internal dashboards, and automated remediation workflows.
- Strong quantitative, hands-on approach to system operations, automation, and continuous improvement.
- Prior experience founding a company or building products or infrastructure in an early-stage, high-growth environment is preferred.
- Experience automating incident management with LLMs or AI is preferred.
- Experience with monitoring, incident response, or high-performance computing systems for demanding AI/ML, fintech, or enterprise clients is preferred.
- Passion for open-source projects and contributions to reliability communities is preferred.
Benefits
- Unlimited PTO
- Free daily lunch at the office
- Reimbursed transportation
- Health, dental, and vision insurance
- Up to $150 per month health and wellness reimbursement
- Parental leave
- In-person work at the San Francisco office
Tech Stack
Categories
DevOpsSite Reliability
About Reducto
Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We currently power the best AI teams ranging from startups to Fortune 10 companies across all industries: legal, finance, healthcare, and more. We are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.