Director, Platform Engineering

ABOUT THE ROLE SPORTS ENGINE is looking for a DIRECTOR PLATFORM OPS to build our next big thing in platform growth across Fandango, Rotten Tomatoes, Fandango at Home, SportsEngine, and SportsEngine Play We are looking for a Director of Platform Operations to lead and scale our platform engineering function while remaining deeply hands-on. This is a player-coach role: you will provide technical and strategic leadership, mentor a team of engineers, and also roll up your sleeves to design, build, and operate our core cloud and platform services. If you enjoy solving complex problems, building for scale, and making a measurable impact – we’d love to meet you. WHAT YOU'LL DO As a Director Platform Ops on our team, you will: Drive and participate in solution architecture and delivery across diverse domains, offering expertise in AWS cloud infrastructure and resources, containers (ECS/Kubernetes) and cloud-native architectures Develop, enhance, and operate platform capabilities including CI/CD pipelines, infrastructure as code, reusable patterns, and automation solutions that enable rapid, reliable, and secure deployments Design and implement standardized, reusable cloud infrastructure patterns and templates that help teams adopt best practices while maintaining security and compliance requirements Lead and enable the platform team in delivering consistent adoption of software delivery practices and solutions that optimize for fast feedback, observability, and operational excellence Evaluate existing standards and practices, identify gaps, and implement improvements to strengthen Development, Security, and Operational practices across the organization Demonstrate excellent communication skills through proactive status updates, clear documentation, knowledge sharing, and effective collaboration when facing technical challenges Partner closely with engineering teams to understand their needs, refine requirements, and deliver solutions that enhance developer productivity while meeting project objectives Work with emerging technologies around AI, MCP, RAG. Develop and integrate AI/LLM solutions using modern frameworks and APIs. Implement Model Context Protocol (MCP) for standardized interoperability across tools and platforms. Build and optimize RAG pipelines with embeddings, vector databases, and retrieval systems for context-aware responses. Prototype, benchmark, and deploy emerging AI/ML technologies in production environments.