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.
About the job
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
Python, Kubernetes, Cloud Platforms, Networking, Storage Technologies, Monitoring, Observability, Automation, Incident Response, Sre Practices
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