Manager 3, Software Engineering (Traffic and Routing ...

Overview Come join the Platform and Development Organization (PDX) at Intuit as a Group Development Manager u2014 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 u2014 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 u2014 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 u2014 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 u2014 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 u2014 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 u2014 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 u2014 comfortable presenting strategy and results to VP/SVP level Technical Depth u2014 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 u2014 AI Infrastructure + Experience designing or operating AI Gateway / LLM traffic infrastructure u2014 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 u2014 you ask

Created: 2026-04-30