Senior AI Platform Engineer: Gateway & Telemetry Lead

Aledade; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote-first environment

Work from multiple locations

Paid parental leave

Stock options

Sabbatical after 6 years

Job summary

Aledade is looking for an AI Enablement Platform Engineer to own the MCP Gateway, developer platform integrations, and the plugin distribution pipeline. You will craft secure auth flows, tenancy controls, and scalable tool-call routing for internal users.

You will build observability, cost attribution, and evaluation harnesses to guide model choices, while mentoring teams on platform tooling and best practices.

Qualifications

• BS/BTech (or higher) in Computer Science, Engineering or related field.
• 5+ years professional software engineering experience.
• Hands-on experience with authentication and authorization for machine-to-machine traffic (OAuth2, OIDC, M2M credentials).
• Production ownership of a backend service or developer platform including its auth model, release process, and health.

Responsibilities

• Own and extend the MCP Gateway and connector platform; manage auth, scopes, tenancy, rate limiting, and policy enforcement.
• Own the distribution layer and marketplace publishing pipeline for plugins and tooling.
• Build and maintain shared plugins, hooks, and tooling used across PTA teams.
• Extend observability, cost attribution, and model routing; implement benchmarks to guide model choices.

Skills

Agentic tools

Instrumentation & metrics

Full stack platform

OAuth2 / OIDC / M2M

Backend service ownership

Documentation & runbooks

Adoption & internal users

Python / FastAPI / Vue / TS

Education

BS/BTech in Computer Science or related

Tools

Datadog

Sumo Logic

API gateway / service proxy

AWS

Job description

Aledade is looking for an AI Enablement Platform Engineer to own the MCP Gateway, developer platform integrations, and the plugin distribution pipeline. You will craft secure auth flows, tenancy controls, and scalable tool-call routing for internal users.

You will build observability, cost attribution, and evaluation harnesses to guide model choices, while mentoring teams on platform tooling and best practices.