Senior Platform Engineer - Scalable Backend & Infra

Reducto; Santa Fe (NM); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Free lunch

Transit reimbursement

Health insurance

Wellness budget

Parental leave

Job summary

Reducto is the agentic document platform powering AI teams with enterprise-grade performance. The Platform team owns infrastructure behind our core API, focusing on scalable document processing, low latency, and cost efficiency.

You’ll lead backend work across Python services, Kubernetes, and IaC tooling, driving reliability as usage grows. The ideal candidate has 5+ years building production systems, strong Python skills, and experience with Terraform, containerized deployments, and modern AI

Qualifications

• 5+ years building production backend/platform systems.
• Experience with distributed systems, Kubernetes, cloud infrastructure, and observability.
• Fluent in Python; experience with Terraform and model-serving tooling.

Responsibilities

• Scale Reducto’s core API and document processing pipelines for higher throughput and lower latency.
• Reduce infrastructure and model-serving costs without sacrificing quality or reliability.
• Improve Kubernetes/containerized deployment workflows, observability, alerting, and operational safety.
• Build internal tooling, evals, and debugging workflows to help engineers find and fix failures quickly.
• Partner with ML/backend engineers to optimize LLM/model-serving paths in production.
• Act as technical lead for platform/backend projects as the team grows.

Skills

Backend

Distributed systems

Kubernetes

Python

Terraform

LLM tooling

Technical leadership

Tools

PostgreSQL

Job description

Reducto is the agentic document platform powering AI teams with enterprise-grade performance. The Platform team owns infrastructure behind our core API, focusing on scalable document processing, low latency, and cost efficiency.

You’ll lead backend work across Python services, Kubernetes, and IaC tooling, driving reliability as usage grows. The ideal candidate has 5+ years building production systems, strong Python skills, and experience with Terraform, containerized deployments, and modern AI