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

Role overview

Qualifications

  • 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.

Responsibilities

  • 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.

Key facts

Other skills

  • Problem Solving
  • Collaboration
  • Reliability
  • Troubleshooting (Problem Solving)

About the company

Confluent logo

Confluent

API & Integration Platforms (iPaaS)

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.

Company details

Company typeLarge
IndustryAPI & Integration Platforms (iPaaS)
Company size1001 - 5000

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Job description

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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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