Infrastructure Engineer

As an Infrastructure Engineer at Reducto, you will influence every aspect of our infrastructure from the ground up. You will architect and scale resilient systems for AI and ML workloads, automate cloud infrastructure, and implement monitoring and incident response practices that set the standard for reliability. This role requires technical leadership, hands-on systems engineering, and strong collaboration with our founders and product teams as we build a company around reliability, rapid iteration, and high-impact product delivery.

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.

Are your own worst critic—have an extremely high bar for quality and always aim for robust solutions rather than quick fixes.

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.