Co-own the technical architecture and direction of Ventures products, from backend to web and mobile clients
Take ideas from prototype to a testable product, then harden the ones that prove out
Design and run scalable backend systems for real-time sports experiences, including RPC services, event streaming and durable workflows
Build shared platform features, such as social, predictions and live content, for multiple products and EA games
Plan for scale and failure, including load costs, backpressure, retries, reconnects and recovery
Design features end to end, covering API contracts, real-time delivery and offline-capable mobile sync, with client leads
Use AI coding agents as a core part of development and set guardrails and review practices for them
Own production operations, including infrastructure as code, deployments, monitoring, incident response and costs
Ship changes safely using feature flags, staged rollouts and rollback plans
Integrate with EA platform services and third-party sports data and AI providers
Set standards for code review, testing, documentation and architecture decisions
Work with product and design on roadmaps and technical trade-offs
Mentor new engineers and share architecture and AI-native practices across Ventures

10+ years of professional engineering experience, including taking consumer products from concept to production
Strong backend experience with distributed systems, ideally Go, gRPC and Protocol Buffers
Experience with event-driven or real-time systems, such as NATS JetStream or Kafka, and workflow engines like Temporal
Solid data modeling across relational, document and in-memory stores, ideally PostgreSQL, Firestore and Redis
Experience running cloud services, ideally Google Cloud and Kubernetes, with infrastructure as code, CI/CD and observability tools
Experience building with AI coding agents, or a clear interest in doing so (essential)
Enough web and mobile skill to design features end to end and review client work (SwiftUI, Jetpack Compose, React preferred)
Ability to own a system and make sound technical decisions independently
Experience with feature flags, staged rollouts and production monitoring
Plus: experience with real-time, social, sports, gaming or entertainment products, or as a founding engineer
Plus: experience with LLM-powered or agentic product features
Ownership of outcomes, pragmatic judgment and comfort with ambiguity
Clear communication with engineers, product and leadership
Collaboration, mentorship and interest in how AI is changing software development

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Posted	17 Oct 2026
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Principal Founding Engineer, AI-Native Product Incubation