Manager 3, Software Engineering (Traffic and Routing Platform)

Overview

Come join the Platform and Development Organization (PDX) at Intuit as a Group Development Manager — a manager of managers leading one of the most consequential platform capabilities in the company. The Traffic and Routing Platform is the connective tissue of Intuit's engineering ecosystem and is rapidly evolving into an AI-native infrastructure layer. It powers API Gateway, Service Mesh, AI Gateway, and the Agentic Communication Platform — the infrastructure through which every request to TurboTax, QuickBooks, Mailchimp, and dozens of Intuit platforms flows. This is a Tier‑0 platform where reliability, developer experience, and AI readiness are non‑negotiable. We are not just modernizing infrastructure — we are building the traffic layer for the agentic AI era: MCP Gateway, LLM‑aware routing, streaming protocol support, AI‑powered self‑service operation and more. The leader in this role will help shape that future.

Responsibilities

Strategic Platform Leadership

• Drive the multi‑year roadmap spanning API Gateway, Service Mesh, AI Gateway, Agentic Communication Platform, MCP Gateway, and Unified Traffic Runtime
• Drive architectural evolution from traditional request‑response infrastructure to an AI‑native traffic platform — supporting LLM workloads, agent‑to‑agent communication, real‑time streaming, and model‑aware routing
• Translate business priorities into engineering investments with measurable outcomes: availability, developer NPS, incident reduction, and cost efficiency

AI‑Native Platform Engineering

• Lead the buildout of AI Gateway capabilities: payload‑based throttling, token‑aware rate limiting, semantic caching, prompt moderation, and latency‑aware routing for GenAI workloads
• Drive the Agentic Communication Platform: production‑grade streaming (SSE, WebSocket, multimodal), east‑west agent traffic via Service Mesh, and failover/resiliency for long‑lived AI connections
• Own MCP Gateway — Intuit's emerging gateway for Model Context Protocol traffic, enabling secure, authenticated, and observable tool‑use patterns for AI agents
• Champion AI‑driven platform operations: Traffic Agent convergence (unifying configuration, troubleshooting, and admin intelligence into a single AI assistant), intelligent incident triage, and AI‑powered self‑service for developers
• Partner with GenOS, Identity, and BU engineering teams to define and evolve the traffic architecture for Intuit's AI product surface

People Leadership

• Lead and develop a team of managers and senior/staff engineers; build a culture of accountability, psychological safety, and continuous growth
• Attract, retain, and grow world‑class engineering talent in a rapidly evolving AI infrastructure space
• Foster high‑performance collaboration across global engineering teams spanning multiple time zones

Engineering & Operational Excellence

• Drive a zero‑incident mindset — own reliability targets for Tier‑0 traffic infrastructure powering millions of customers
• Champion platform resiliency: load shedding (ingress/egress), circuit breaking, adaptive throttling, and progressive rollout at scale
• Establish engineering excellence practices: chaos engineering, SLO/SLA governance, canary deployments, and automated incident recovery

Developer Experience

• Champion the developer‑facing experience: self‑service workflows, documentation, onboarding, and AI‑powered observability tooling in DevPortal
• Reduce time‑to‑productivity for service teams onboarding to API Gateway, Service Mesh, and AI Gateway
• Build developer feedback loops into the platform lifecycle — driving continuous improvement in developer NPS

Cross‑Functional Partnership

• Partner with Product Management, Architects, Security, and BU engineering leads on roadmap prioritization and platform design reviews
• Serve as a senior engineering voice in Intuit's Platform Architecture forums and AI infrastructure strategy conversations
• Manage stakeholder expectations across Business Units with diverse traffic, reliability, and AI integration needs

Qualifications

Leadership & Management

• 8+ years of people management experience, including managing managers (manager of managers)
• Proven track record of building, scaling, and retaining high‑performance platform engineering teams
• Strong executive communication — comfortable presenting strategy and results to VP/SVP level

Technical Depth – Traffic & Networking

• 12+ years of software engineering and platform engineering experience
• Deep expertise in cloud‑native technologies: Kubernetes (EKS), Istio, Envoy, Prometheus
• Mastery of Layer 4/7 networking: rate limiting, circuit breaking, mTLS, load balancing, traffic shaping
• Hands‑on experience with API Gateway and Service Mesh platforms at meaningful scale

Technical Depth – AI Infrastructure

• Experience designing or operating AI Gateway / LLM traffic infrastructure — token‑based throttling, streaming protocols, model routing, or equivalent
• Familiarity with agentic communication patterns: MCP (Model Context Protocol), SSE, WebSocket, long‑lived connections, and agent‑to‑agent traffic
• Understanding of GenAI system architecture: orchestration layers, LLM backends, prompt/response pipelines, and observability for AI workloads
• Experience applying AI to platform operations: intelligent configuration, automated incident response, self‑service tooling, or AI‑assisted developer workflows

Software & Systems

• Experience building large‑scale distributed systems in Go, Java, or Python
• Working knowledge of observability stacks: Prometheus, Grafana, Splunk, or equivalent
• Familiarity with progressive delivery patterns: canary, feature flags, blue/green, and traffic splitting at scale

Mindset & Culture

• AI‑first thinking — you ask "how can AI accelerate this?" before defaulting to manual solutions
• Extreme ownership — you hold yourself accountable for platform outcomes, not just team outputs
• Strong developer empathy — you build platforms for developers, not at them
• Data‑driven — you set targets, measure outcomes, and adjust course based on evidence

Education

• Bachelor's degree in Computer Science or related technical field (or equivalent practical experience)

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California $ 237,500- 321,500