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Senior Software Engineer - Streaming AI (Remote - Ontario / British Columbia)

Confluent

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This role on the market

63 open streaming roles across 27 companies are on ApplySarthi right now, most of them in Delhi NCR (5), Bengaluru (3).

What streaming roles keep asking for: System design (48%), Kafka (43%), AWS (33%), Azure (33%), Observability (33%), Go (27%), Kubernetes (27%), GCP (25%) — counted across their open postings here.

Software Engineer jobs in Canada · Remote Software Engineer jobs · AWS jobs · Azure jobs · C++ jobs · GCP jobs

Confluent has 20 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for streaming roles keep coming back to System design, Kafka, AWS, Azure. Practise those questions before you sit with Confluent.

Questions you are likely to be asked

  1. Why do you want to join Confluent?
  2. What is your experience with System design? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

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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 .

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Listed on ashby · posted 2026-07-14. ApplySarthi collects openings and links to application pages; the role is advertised by Confluent, not by us.