Platform Engineer: Scale AI Infra, CI/CD & Observability

Revic AI; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Health/Dental/Vision

Quarterly offsite

Job summary

Revic AI is seeking a Platform Engineer to design, build, and scale the infrastructure behind its AI-native revenue engine. You’ll own the systems that keep AI agents fast, reliable, and running at scale, working to reduce friction for developers and enable rapid shipping.

You’ll collaborate with product engineering to create secure, cost-efficient architectures, champion IaC, and drive automated testing and deployment practices across the team.

Qualifications

• 5+ years building and operating cloud infrastructure (AWS, GCP, or Azure).
• Designed systems that handled real production traffic at scale.
• Deep understanding of distributed systems and failure modes.

Responsibilities

• Design, build, and maintain the cloud infrastructure and developer platform that powers Revic's AI systems.
• Own CI/CD pipelines, deployment automation, and environment management so engineers ship with confidence.
• Build and operate observability, monitoring, and alerting systems that catch problems before customers do.
• Manage the infrastructure layer that fuels our AI agents.
• Improve developer experience by reducing friction in local development, testing, and production debugging.
• Collaborate with product engineering to design systems that are secure, scalable, and cost-efficient.
• Champion infrastructure-as-code, automated testing, and operational best practices across the team.

Skills

Docker

Kubernetes

Terraform

Pulumi

Python

Bash

Go

Spark

Databricks

Airflow

Tools

Terraform

Pulumi

Job description

Revic AI is seeking a Platform Engineer to design, build, and scale the infrastructure behind its AI-native revenue engine. You’ll own the systems that keep AI agents fast, reliable, and running at scale, working to reduce friction for developers and enable rapid shipping.

You’ll collaborate with product engineering to create secure, cost-efficient architectures, champion IaC, and drive automated testing and deployment practices across the team.