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# Infrastructure Engineer

- **Company:** Reducto, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Python (Programming Language), Open Source Technology, Large Language Models, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/infrastructure-engineer-reducto-8103157

## About the Role

* Have 5+ years of hands-on experience in building or supporting production-grade infrastructure and reliability processes for high-throughput systems.
 * Are 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.
 * Bring a quantitative, hands-on approach to system operations, automation, and continuous improvement., * Have prior experience founding a company or building products/infrastructure in early-stage, high-growth environments.
 * Are excited about automating incident management processes with LLMs/AI.
 * Are driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving.
 * Keep up with the latest trends in cloud, observability, and SRE best practices.
 * Are passionate about open-source and have contributed tools or automation to reliability communities.
 * Have built or optimized monitoring, incident response, or high-performance computing systems for demanding AI/ML, fintech, or enterprise clients.

## Description

* 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.


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