About the position
As a Staff Software Engineer on our team, you will drive innovation across iconic brands: Lead development efforts for a diverse portfolio of product offerings spanning Fandango, Fandango at Home, and Rotten Tomatoes, delivering experiences that reach millions of users. Architect for Growth - Design and evolve systems that scale with the business, supporting massive spikes in demand around blockbuster releases and live events. Global Expansion - Build platforms ready for international markets, ensuring localization, payments, and regulatory compliance work seamlessly at scale. Unify Experiences - Collaborate across teams to connect ticketing, concessions, memberships, digital media services, and reviews into a cohesive user journey. Create market-ready platforms: Build API- and AI-driven SaaS products designed to scale-serving both internal teams and external clients through powerful distribution channels. Advance intelligence capabilities: Leverage AI and machine learning to deliver predictive forecasting and insights across all lines of business. Lead and inspire team: Guide engineers across teams, setting technical standards that enable consistent delivery as we expand globally. Optimize Reliability - Ensure high availability and transaction security for millions of customers across multiple platforms. Champion security and compliance: Partner with Cybersecurity, Data Governance, Legal, and Privacy teams to ensure products meet the highest standards of trust, safety, and compliance.
Responsibilities
- Lead development efforts for a diverse portfolio of product offerings spanning Fandango, Fandango at Home, and Rotten Tomatoes.
- Design and evolve systems that scale with the business, supporting massive spikes in demand around blockbuster releases and live events.
- Build platforms ready for international markets, ensuring localization, payments, and regulatory compliance work seamlessly at scale.
- Collaborate across teams to connect ticketing, concessions, memberships, digital media services, and reviews into a cohesive user journey.
- Build API- and AI-driven SaaS products designed to scale-serving both internal teams and external clients through powerful distribution channels.
- Leverage AI and machine learning to deliver predictive forecasting and insights across all lines of business.
- Guide engineers across teams, setting technical standards that enable consistent delivery as we expand globally.
- Ensure high availability and transaction security for millions of customers across multiple platforms.
- Partner with Cybersecurity, Data Governance, Legal, and Privacy teams to ensure products meet the highest standards of trust, safety, and compliance.
Requirements
- 8+ years of engineering experience with transaction-heavy systems (ticketing, e-commerce, or payments).
- Strong background in API-first development, integrations, and distributed systems.
- Hands-on experience with modern cloud platforms (AWS, Azure, GCP).
- Proficiency in python, c#, java, typescript or equivalents with a focus on scalable and maintainable backend development.
- Expertise in scalable distributed systems and cloud-native infrastructure.
- Strong understanding of global commerce - payments, localization, and scaling internationally.
- Excellent collaboration skills, especially in cross-functional and cross-border contexts.
- Track record of building diverse, inclusive teams and fostering a strong engineering culture.
- Experience partnering with cybersecurity, data governance, legal and compliance teams to ensure secure, and compliant product delivery.
- Change management skills - going from monolith to micro-services, on-premise to cloud, manual to automated, VMs to containers.
Nice-to-haves
- Experience with other large entertainment focused platforms, centered around being consumer-facing at a large scale.
- Familiarity and hands-on exposure with MCP Servers and highly accessible and available API platforms.
- Knowledge of microservices and event-driven architectures at enterprise scale.
- Cloud-native, global scaling experience (AWS and their various tool offerings).
- Understanding of the mindset of 'Fail Fast, Learn Fast' and continuous improvement.