Senior Software Engineer, Backend & AI Platform - Sureel AI

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A little bit about our team Sureel AI is building the standards and infrastructure for AI rights, licensing, attribution, protection, and intelligence, starting in music and expanding across media. We are building the infrastructure that enables creators and rightsholders to control how their work is used by AI, protect their rights, understand its use and value, and participate in new AI licensing models. We also provide AI companies and digital platforms with the systems they need to access rights, permissions, attribution, guardrails, reporting, and licensing infrastructure programmatically. Acquired by Warner Music Group , Sureel operates as an independent, federated company, combining startup speed with the reach of a global music company. Your role We are looking for a senior software engineer with deep experience in backend, platform, DevOps, and MLOps engineering. You will help build the technical backbone of the Sureel platform, working closely with AI Research, Product, and the rest of Engineering to turn advanced technology into reliable enterprise products. This is a highly hands-on role. You will design architecture and write code, owning systems from implementation through deployment and production. You should be comfortable moving between APIs, distributed systems, databases, cloud infrastructure, ML workloads, enterprise integrations, and, when needed, the frontend. We use frameworks, managed services, and AI tools to move quickly, but we expect you to understand what is happening underneath them. You should be able to reason about why something works, where it could fail, and what to do when an abstraction breaks down. What you'll do: Design and build scalable backend services, APIs, data pipelines, and platform infrastructure across the Sureel stack. Own systems end-to-end, from architecture and implementation through deployment, observability, debugging, and iteration. Build infrastructure for high-volume AI, media, attribution, search, retrieval, and enterprise workloads. Work with our AI team to move experimental models and algorithms into reliable production services. Build and improve our MLOps capabilities across model deployment, inference, versioning, evaluation, monitoring, and reproducibility. Own and improve DevOps and cloud infrastructure, including CI/CD, infrastructure-as-code, containers, orchestration, security, observability, and deployment reliability. Build enterprise capabilities such as authentication, RBAC, multi-tenancy, auditability, bulk operations, integrations, and configurable workflows. Make architecture decisions across databases, queues, caching, distributed systems, compute, storage, networking, reliability, and cost. Work directly with Product and, when needed, customers or AI partners to turn complex requirements into scalable technical solutions. Build internal tooling and automation that makes the entire engineering and research team more effective. AI-native engineering AI is part of how we expect the engineering team to work. You should actively use and experiment with coding agents, agentic frameworks, AI-assisted debugging and research, automated testing, and other emerging development workflows. The goal is to use these tools to move faster without lowering the quality bar. You should understand the code and systems you ship, recognize when an AI-generated solution is wrong, challenge weak architectural decisions, and solve difficult problems independently. We are looking for engineers who use AI to extend their judgment and capabilities, not replace them. Who you are: You are a senior software engineer with strong depth in backend and platform engineering and the ability to work across the stack when needed. You have personally designed, built, deployed, and operated meaningful production systems. You are highly proficient in a modern backend language and comfortable working extensively with TypeScript/Node.js. Python experience is a bonus. You understand the fundamen

关于我们团队的一些介绍 Sureel AI 正在为 AI 权利、授权、归属、保护和智能构建标准与基础设施，从音乐领域起步，并扩展至整个媒体行业。我们正在构建基础设施，使创作者和权利持有人能够控制其作品如何被 AI 使用、保护其权利、了解其使用情况和价值，并参与新的 AI 授权模式。我们还为 AI 公司和数字平台提供以程序化方式获取权利、许可、归属、护栏、报告和授权基础设施所需的系统。Sureel 被 Warner Music Group 收购后，作为一家独立的联邦化公司运营，将初创公司的速度与全球音乐公司的覆盖范围相结合。 你的角色 我们正在寻找一位在后端、平台、DevOps 和 MLOps 工程方面具有深厚经验的资深软件工程师。你将帮助构建 Sureel 平台的技术骨干，与 AI Research、Product 以及 Engineering 其他团队紧密合作，将先进技术转化为可靠的企业级产品。这是一个高度动手实践的角色。你将设计架构并编写代码，负责系统从实现到部署和生产环境的全生命周期。你应当能够自如地在 API、分布式系统、数据库、云基础设施、ML 工作负载、企业集成以及必要时在前端之间切换。我们使用框架、托管服务和 AI 工具来快速推进，但我们期望你理解它们底层发生了什么。你应当能够推理某事物为何有效、可能在哪里失败，以及当抽象层崩溃时该怎么做。 你将做什么： 在 Sureel 技术栈中设计并构建可扩展的后端服务、API、数据管道和平台基础设施。 端到端负责系统，从架构和实现到部署、可观测性、调试和迭代。 为高容量 AI、媒体、归属、搜索、检索和企业工作负载构建基础设施。 与我们的 AI 团队合作，将实验性模型和算法转化为可靠的生产服务。 构建并改进我们的 MLOps 能力，涵盖模型部署、推理、版本管理、评估、监控和可复现性。 负责并改进 DevOps 和云基础设施，包括 CI/CD、基础设施即代码、容器、编排、安全、可观测性和部署可靠性。 构建企业级能力，如身份验证、RBAC、多租户、可审计性、批量操作、集成和可配置工作流。 在数据库、队列、缓存、分布式系统、计算、存储、网络、可靠性和成本方面做出架构决策。 直接与 Product 合作，并在需要时与客户或 AI 合作伙伴合作，将复杂需求转化为可扩展的技术解决方案。 构建内部工具和自动化，使整个工程和研究团队更高效。 AI 原生工程 AI 是我们期望工程团队工作方式的一部分。你应当积极使用并实验编码代理、代理框架、AI 辅助调试和研究、自动化测试以及其他新兴开发工作流。目标是使用这些工具加快速度，同时不降低质量标准。你应当理解你交付的代码和系统，识别 AI 生成的解决方案何时有误，质疑薄弱的架构决策，并独立解决难题。我们正在寻找那些使用 AI 来扩展自身判断力和能力、而非替代它们的工程师。 你是谁： 你是一位资深软件工程师，在后端和平台工程方面具有深厚功底，并能在需要时跨栈工作。你亲自设计、构建、部署和运营过有意义的生产系统。你精通一门现代后端语言，并能够熟练地大量使用 TypeScript/Node.js。Python 经验是加分项。你理解基本

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