Senior Software Engineer, Payments Platform

Roku•San Jose, CA

4d•$186,000 - $388,000•Hybrid

About The Position

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku Pay is one of Roku's core monetization streams and is well-positioned for significant growth. Roku Pay encompasses Pricing, Billing, and Payments ecosystems and many other integrations that strive to render a great experience for our partners and consumers. We are rebuilding our platform to support our growth plans in both domestic and international markets. In this role, you will envision, architect, build, and run a highly available, fault-tolerant, efficient, and performant platform that scales to billions of viewers. About the role In this role, you will lead the architecture and implementation of a highly available, fault‑tolerant, and performant billing platform that scales to billions of viewers across AWS/GCP, owning key initiatives end‑to‑end while coding roughly 80% of the time. You’ll evaluate and adopt new technologies, design shared architectural layers (queuing, event systems, shared memory), and collaborate across Product, Engineering, QA, and Ops to deliver resilient services spanning streaming, APIs, notifications, and batch workloads. As a hands‑on technical leader, you will set engineering excellence by example, drive CI/CD automation and platform reuse, influence roadmap through cross‑team architectural discussions, and consistently turn complex requirements into reliable, well‑documented systems.

Requirements

10+ years of experience in architecting, implementing, and running large-scale services, specifically in subscriptions, payment, order, and billing domains
Expertise in various subscription or payment flows, including tax, payment, purchase, renewal, dunning, cancellation, repurchase, and invoicing.
Advanced hands-on experience with AI-assisted and agentic coding tools (e.g., Claude Code, GitHub Copilot, Cursor) is required, including the ability to effectively delegate, review, and integrate AI-generated code within a production workflow
Experience building systems of various workloads - streaming, API, notifications, batch, etc.
Strong architectural design experience, great track record of building a highly available and scalable subscription platform
Strong expertise with cloud solutions/systems across the cloud; AWS or GCP is a must
Strong experience in designing and leading the implementation of highly complex transactional systems, collaborating with teams across the organization
Strong passion for technology and adding value to the bottom line through technology
Strong passion & expertise with automation, including building and adopting CI/CD pipelines

Nice To Haves

Experience with multi-cloud solutions is a plus, and the ability to offer technical guidance to design, deploy, and scale applications across multiple cloud environments

Responsibilities

Lead the evaluation and implementation of new technologies and designs.
Evaluate emerging technologies and seek innovative solutions to address existing and new challenges
Leverage agentic AI coding tools (Claude Code, Cursor, Copilot) to accelerate development while ensuring code quality and production readiness
Build and ship features using AI coding agents, delegating implementation, reviewing output, and owning the quality of what makes it to production
Use agentic AI coding tools (e.g., Claude Code, Cursor, Copilot) as part of your daily workflow, delegating tasks to AI, reviewing and refining AI-generated code, and integrating it into production
Engage in architectural discussions across multiple teams, influence the roadmap, and take ownership of key projects and initiatives
Provide technical leadership and expertise to drive platform capabilities to ensure high availability and scalability
Demonstrate engineering excellence practice by setting expectations and leading by hands-on examples
Own building platform features, driving directly with product and other engineering teams
Own design and implementation of shared architectural layers (e.g., queuing, event systems, shared memory clusters) and libraries that can be used across teams
Review technical specification documents, provide feedback, and collaborate for best-in-class solution
Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
Be an evangelist for platform innovation and reuse
Be actively involved in code/design reviews and expected to code 80% of the time