• Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer • Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view • Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes • Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies • Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework • Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist • Mentor engineers and serve as a point of technical escalation for complex platform challenges • Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques • Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality

• Design and build automated outbound workflows using tools such as N8N to reduce manual effort across the GTM process • Connect data sources, enrichment tools, CRMs, and outreach platforms into seamless end to end systems • Build and maintain reusable automation templates that can scale across multiple campaigns or accounts • Build data enrichment pipelines using tools such as Clay to gather and structure prospect and account data at scale • Use AI tools such as Claude to generate personalized outreach content and research summaries within automated workflows • Continuously test and refine enrichment and personalization logic based on response and conversion data • Integrate outbound and enrichment workflows directly with CRM platforms to ensure clean, accurate, and timely data flow • Troubleshoot and maintain automations, fixing breakages and improving reliability over time • Document workflows clearly so systems can be understood, maintained, and extended by others • Identify new tools, models, or techniques that could improve speed, personalization, or scale of GTM systems • Monitor automation performance and proactively flag issues, bottlenecks, or opportunities for optimization

Role Description As a Senior Software Engineer, you will be at the core of one of the most technically demanding challenges in modern web infrastructure: optimizing how web traffic is intercepted, processed, and delivered at massive scale across an edge computing platform. You will work on a system handling tens of thousands of requests per second and tens of billions of dollars of annual e-commerce volume, alongside a small, high-caliber engineering team where every engineer owns a meaningful piece of the system. This is not a ticket-execution role. You will be a technical leader in architecture and design, collaborating directly with the CTO and lead platform engineer to define how the platform evolves. You will plan rollouts methodically, define success metrics before shipping, debug complex cross-browser and cross-device behavior, and build systems that cannot fail. Responsibilities - Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer - Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view - Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes - Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies - Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework - Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist - Mentor engineers and serve as a point of technical escalation for complex platform challenges - Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques - Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality Qualifications - 5-10 years of software engineering experience with a strong background in building and scaling high-traffic, multi-tenant web platforms - Expert-level proficiency in TypeScript (primary language), JavaScript (real JS, not just framework-level), and Python - Demonstrated experience designing and operating distributed, high-availability systems at meaningful scale - Cloud platform experience: AWS, GCP, or Azure (cloud agnostic environment) - Experience with CDN infrastructure and web performance optimization: tools such as Cloudflare, Lighthouse, WebPageTest, and techniques such as web workers, lazy loading, and code splitting - Infrastructure as Code experience (Pulumi or equivalent) - Strong SQL and data querying skills; ability to work with data warehouses and build data-driven engineering decisions - Experience with message queues (SQS, Kinesis, or equivalent) and CI/CD pipelines - Data storage: PostgreSQL, Redshift, or equivalent - Strong problem-solving skills and detail orientation: understands that at massive traffic scale, edge cases are not edge cases - Active AI tool usage in engineering workflow: Claude Code, GitHub Copilot, Codex, or equivalent - Strong English communication: comfortable in technical discussions and async written collaboration with a distributed team - Available to work full Eastern Standard Time hours Preferred - Cloudflare Workers or edge computing experience (highly preferred given the platform architecture) - E-commerce platform experience: Shopify, Salesforce Commerce Cloud, or similar - Snowflake or data warehouse query optimization experience - Media or high-traffic publishing platform background - Experience running or leading a multi-brand or multi-tenant web platform - Prior startup experience where you owned significant platform surface area with a small team - Agile/Scrum experience in a distributed team environment Salary and Benefits - Salary: $6,000 to $8,000 USD per month - PTO: 15 days - Holidays: Local or US holidays

• Define and lead the technical vision, roadmap, and standards for NBCU’s digital workplace platforms across collaboration, endpoints, and AI. • Own the end-to-end architecture for Workplace Technology Engineering, ensuring alignment with enterprise architecture, security, and compliance requirements. • Serve as a technical authority for complex system design, scalability, and long-term platform evolution. • Lead design and engineering of enterprise workplace services, including: Microsoft 365 (Teams, SharePoint, OneDrive, Exchange Online) • Ensure platforms deliver high availability, performance, and security, while reducing operational overhead through automation and standardization. • Drive global consistency across workplace technologies supporting hybrid work environments. • Partner with business stakeholders to identify and prioritize high-value AI use cases across NBCU. • Apply Site Reliability Engineering (SRE) principles across workplace platforms. • Act as a senior technical leader and mentor across WTE engineering teams. • Lead architecture reviews, engineering design boards, and technical decision-making forums.