Staff Engineer, AI-Driven Traffic Platform & Gateway

Intuit

Bloomington (IL)

On-site

USD 189,000 - 274,000

Full time

29 hours ago
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Job summary

Intuit is seeking a Staff Engineer to lead the Traffic platform, guiding API Gateway, Service Mesh, and MCP Gateway initiatives that enable AI-agent-driven traffic operations. This role emphasizes both deep Envoy/Istio expertise and strategic platform planning.

You will collaborate across Gateway, Mesh, MCP/3X, and Resiliency teams, drive critical migrations end-to-end, and mentor senior engineers while advancing platform reliability and security at scale.

Qualifications

  • Eight plus years in software engineering and large-scale distributed systems.
  • Experience with Envoy/Istio or modern API gateway architectures.
  • Strong systems-level programming in Go and/or Java.
  • Experience designing authentication/authorization for high-throughput traffic.

Responsibilities

  • Set architecture and direction for API Gateway and Service Mesh.
  • Drive design and hardening of MCP Gateway, including auth flows for AI agents.
  • Lead AI-agent-enabled traffic operations and service onboarding.
  • Own major migrations end-to-end with backward compatibility in mind.
  • Apply resiliency practices to reduce incidents and drive durable fixes.
  • Act as escalation point during high-severity incidents affecting gateway or mesh.
  • Mentor staff engineers and contribute to FY roadmap planning.

Skills

Go
Java
Distributed systems
Incident response
OAuth/mTLS
Security-focused design

Tools

Envoy
Istio
xDS APIs
Service mesh
AWS networking

Job description

Intuit is seeking a Staff Engineer to lead the Traffic platform, guiding API Gateway, Service Mesh, and MCP Gateway initiatives that enable AI-agent-driven traffic operations. This role emphasizes both deep Envoy/Istio expertise and strategic platform planning.

You will collaborate across Gateway, Mesh, MCP/3X, and Resiliency teams, drive critical migrations end-to-end, and mentor senior engineers while advancing platform reliability and security at scale.

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