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

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Remote
144K-169K Annually
Senior level
Big Data • Information Technology • Software • Database • Analytics • Infrastructure as a Service (IaaS) • Big Data Analytics
Leading the Real-Time Data Revolution
The Role
Build and operate large-scale, high-performance infrastructure to run AI inference and agents on real-time streaming data. Design scalable, reliable serving layers, solve distributed-systems challenges, and optimize across cloud providers.
Summary Generated by Built In

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.

Skills Required

  • 2-5 years industry experience designing, building, and supporting backend systems in production
  • Strong fundamentals in distributed systems, cloud infrastructure, and networking
  • Experience 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
  • BS, MS, or PhD in computer science or related field, or equivalent experience
  • Exposure to model serving, LLM/agent infrastructure, or streaming data systems

Confluent Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Confluent and has not been reviewed or approved by Confluent.

  • Fair & Transparent Compensation Pay is positioned as competitive to market-leading for engineering, product, and senior go-to-market roles, with broad satisfaction signals across much of the company. Compensation is framed as a structured package spanning base salary plus variable pay and equity components.
  • Equity Value & Accessibility Equity participation via RSUs is repeatedly described as a meaningful part of total rewards, often cited as a generous contributor to overall package strength. Refresher grants and ongoing equity awards are also highlighted as part of the ownership proposition.
  • Leave & Time Off Breadth Time-away programs are presented as comprehensive, including flexible/unlimited PTO, volunteer time off, and periodic company-wide recharge days. Philanthropy programs such as donation matching further broaden the non-cash rewards experience.

Confluent Insights

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The Company
HQ: Mountain View, CA
3,263 Employees
Year Founded: 2014

What We Do

Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.

Why Work With Us

At Confluent, we’re not just building better tech, we’re rewriting how data moves. No egos, no solo acts - just smart, curious people pushing toward something bigger, together. Belonging isn’t a perk here. It’s the baseline. Work from anywhere. Build with everyone. One Confluent. One team. whole new way of making data flow.

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