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Senior MLOps Architect

Ellie Petrov

Full-time · Job · New_York

About the role

Thirteen models in production. Four different deployment patterns. Zero standardization. That's where we are today, and that's exactly the problem you'll solve. We need a senior MLOps architect to unify our model lifecycle — from training to serving to monitoring — into a coherent, repeatable, self-service platform. Our ML teams are productive but each one reinvents the wheel. One team deploys on ECS, another on Lambda, a third uses SageMaker endpoints. You'll evaluate what works, design a reference architecture, and build the tooling that makes the right path the easy path. This is an architecture role with real implementation responsibility. You'll write the RFCs and the Terraform. You'll design the APIs and the Airflow DAGs. If you've been the person who brings order to MLOps chaos at a scaling company, you already know what this job looks like.

Responsibilities

  • Design a unified model deployment architecture across 13 production models
  • Build self-service tooling for ML teams to deploy and monitor models
  • Standardize CI/CD pipelines for model artifacts and serving endpoints
  • Own the MLflow registry and experiment tracking infrastructure
  • Write architectural RFCs and drive adoption across engineering teams

Requirements

  • 6+ years in MLOps, platform, or infrastructure engineering
  • Deep AWS expertise (ECS, SageMaker, Lambda, Step Functions)
  • Strong Kubernetes and Docker skills
  • Experience building internal developer platforms or self-service tooling
  • Proven ability to drive architectural standardization in growing orgs

Benefits

  • Fully remote — async-first culture
  • Senior equity package
  • $4,000 annual learning and conference budget
  • Flexible PTO with 4-week minimum encouraged

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Categories

MLOps & AI Infrastructure AI & Machine Learning Engineers

Skills

python kubernetes docker aws mlflow

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure AI & Machine Learning Engineers

Skills

python kubernetes docker aws mlflow airflow fastapi

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