• Design, implement, and maintain backend services using Golang • Build and operate high-concurrency, long-lived network services that support large-scale connections • Contribute to system architecture with a focus on high availability, scalability, and fault tolerance • Analyze and optimize system performance, latency, and resource utilization in production environments • Deploy, monitor, and troubleshoot services running on Kubernetes (K8s) • Participate in code reviews and design discussions to ensure high code quality and operational reliability • Write and maintain technical documentation for system design, deployment, and operational workflows • Collaborate with cross-functional teams to support and evolve Luxor’s core services

• Design, build, and maintain customer-facing Ruby on Rails features with a focus on user experience, measurable business impact, and scalable delivery. Partner with stakeholders to identify pain points, rapidly test solutions, and validate through real user feedback. • Drive cross-functional initiatives end-to-end alongside product, design, customer success, and partners — from discovery and ideation through launch. Own feature outcomes by monitoring post-launch metrics and iterating based on real-world usage. • Leverage modern development tools and AI-assisted workflows (GitHub Copilot, ChatGPT, Claude) to improve productivity and code quality. Integrate third-party APIs, evaluate emerging technologies, and implement automation to accelerate delivery. • Implement monitoring, analytics, and performance optimizations to ensure feature success and system reliability. Improve scalability through database tuning, caching strategies, and faster API response times. • Strengthen team knowledge-sharing and growth through knowledge transfers, pairing, technical write-ups, and ongoing learning initiatives.

• Design, build, and maintain customer-facing Ruby on Rails features with a focus on user experience, measurable business impact, and scalable delivery. Partner with stakeholders to identify pain points, rapidly test solutions, and validate through real user feedback. • Drive cross-functional initiatives end-to-end alongside product, design, customer success, and partners — from discovery and ideation through launch. Own feature outcomes by monitoring post-launch metrics and iterating based on real-world usage. • Leverage modern development tools and AI-assisted workflows (GitHub Copilot, ChatGPT, Claude) to improve productivity and code quality. Integrate third-party APIs, evaluate emerging technologies, and implement automation to accelerate delivery. • Implement monitoring, analytics, and performance optimizations to ensure feature success and system reliability. Improve scalability through database tuning, caching strategies, and faster API response times. • Strengthen team knowledge-sharing and growth through knowledge transfers, pairing, technical write-ups, and ongoing learning initiatives.

• Design, build, and operate backend services that power real-time, personalized user experiences across our streaming products • Own systems that translate behavioral data and ML outputs into in-session product logic, recommendations, and engagement features • Lead systems design in ambiguous or early-stage problem spaces, setting technical direction and making scalable architectural decisions • Build and evolve user segmentation and cohorting frameworks based on behavioral and trait data • Partner closely with data science and ML teams to productionize models into reliable backend services • Develop internal tools and platforms used by PMs, GTM, and business teams to understand and act on user data