高级软件工程师 - 流媒体AI (远程 - 安大略省 / 不列颠哥伦比亚省)
Senior Software Engineer - Streaming AI (Remote - Ontario / British Columbia)
我们不只是在打造更好的技术。我们在重新定义数据的流动方式，以及世界能通过数据实现什么。在 Confluent，数据不会停滞。我们的平台让信息动起来，以接近实时的方式流式传输，使公司能够更快地做出反应，更聪明地构建，并提供与周围世界一样动态的体验。
加入这个团队需要一种特定的人。那些会提出难题、给予诚实反馈并互相支持的人。没有自大，没有单打独斗。只有聪明、好奇的人一起朝着更大的目标前进。
一个 Confluent。一个团队。一个数据流平台。
关于团队：
我们是一个小型、专注的工程团队，正在构建 Confluent Cloud 的 AI 能力。我们的任务是让机器学习和 AI 代理能够在实时数据上直接运行——而无需客户自行拼凑一个独立的堆栈。我们从面向用户的 API 到运行推理的生产层，全面负责产品。我们与依赖我们构建的系统的基础平台团队紧密合作。这是一个高自主性、高责任感的环境：小到你所构建的内容能够上线并产生影响，广到问题本身真正具有挑战性。
关于职位：
作为 AI 团队的软件工程师，你将负责支撑我们“原地、大规模”AI 价值主张的基础设施。你不仅仅是开发一个功能，而是设计允许客户在流数据上直接运行复杂推理和 AI 代理的系统，从而消除将数据转移到外部堆栈的需要。这是一个高影响力的角色，你在可扩展、成本高效的推理层上的工作将直接推动 Confluent 的增长，并重新定义实时数据的可能性。
我们寻找那些能在大规模分布式系统的复杂性中茁壮成长的工程师。你将解决跨网络、计算和安全领域的深度基础设施挑战，确保我们的 AI 能力如同核心数据平面一样可靠。如果你热衷于构建支撑下一代云 AI 的基础系统，这里就是你的选择。
你将负责：
- 设计、开发和运营支撑 Confluent Cloud 的大规模高性能基础设施。
- 构建基础软件以提升云环境中的可靠性、可扩展性和效率。
- 解决分布式系统方面的挑战，如共识算法等。
查看英文原文
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
ABOUT THE TEAM:
We're a small, focused engineering team building the AI capabilities of Confluent Cloud. Our job is to make it possible to run machine learning and AI agents directly on real-time data — without customers having to stitch together a separate stack to do it. We own our products end to end, from the user-facing API down to the serving layer that runs inference in production, and we work closely with the broader platform teams whose systems we build on top of. It's a high-ownership, high-autonomy environment: small enough that what you build ships and matters, broad enough that the problems are genuinely hard.
ABOUT THE ROLE:
As a Software Engineer on the AI team, you will take ownership of the infrastructure that enables our "in-place, at-scale" AI value proposition. You aren't just building a feature; you are architecting the systems that allow customers to run complex inference and AI agents directly on streaming data, eliminating the need to move data to external stacks. This is a high-impact role where your work on scalable, cost-efficient serving layers directly drives Confluent's growth and redefines the possibilities of real-time data.
We are looking for engineers who thrive on the technical complexity of large-scale distributed systems. You will tackle deep infrastructure challenges across networking, compute, and security to ensure our AI capabilities are as reliable as the core data plane itself. If you are passionate about building the foundational systems that power the next generation of AI in the cloud, this is the place to do it.
WHAT YOU WILL DO:
- Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud.
- Build foundational software to improve reliability, scalability, and efficiency across cloud environments.
- Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation.
- Collaborate with teams across Confluent to optimize and enhance infrastructure for real-time data streaming use cases.
- Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP).
WHAT YOU WILL BRING:
- 2-5 years of industry experience designing, building, and supporting backend systems in production.
- Strong fundamentals in distributed systems, cloud infrastructure, and networking.
- Experience in building and operating large-scale, high-availability systems.
- Good understanding of cloud platforms (AWS, Azure, or GCP) and their services.
- Proficiency in Java, Scala, C++, Go, or other statically typed languages.
- A self-starter with strong problem-solving skills and the ability to work in a fast-paced environment.
- BS, MS, or PhD in computer science or a related field, or equivalent work experience.
WHAT GIVES YOU AN EDGE:
- Exposure to model serving, LLM/agent infrastructure, or streaming data systems.
- Note - You don't need a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not inventing the models.
READY TO BUILD WHAT'S NEXT? LET’S GET IN MOTION.
COME AS YOU ARE
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
PRIVACY STATEMENT
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here http://ibm.com/careers/us-en/privacy-policy/.