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

Confluent

LocationCanada
SenioritySenior
CompanyConfluent
Verified recentlyOct 12
Compensation

Salary not listed

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Experience

2-5 years stated

Education

BS in computer science or related field, MS in computer science or related field, PhD in computer science or related field, equivalent work experience

Work authorization

Authorized to work in Canada

Schedule

not specified

Required overlap

not specified

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Senior Software Engineer role focused on building scalable AI infrastructure for Confluent Cloud streaming data platform. Remote position for candidates in Ontario and British Columbia, Canada. Requires 2-5 years of backend and distributed systems experience, proficiency in Java, Scala, C++, or Go, and strong cloud platform knowledge (AWS, Azure, GCP). Education requirement is a degree in computer science or equivalent experience. No salary specified. Role involves high autonomy, ownership, and collaboration across teams.

Role lane

Backend, Data, Design and creative, DevOps, Frontend, Legal, Marketing, Operations, Security, Software

Where you can work

Canada

Working hours

America/Toronto, America/Vancouver

Arrangement

Senior · full_time

Required signals
distributed systemscloud infrastructurenetworkingJavaScalaC++GoAWSAzureGCPbackend development
Preferred signals
model servingLLM/agent infrastructurestreaming data systems
Confirm before applying
  • Compensation is not listed
Market context

Backend hiring on WFH.team

3,901active related roles
1,109new in the latest period
169.5jobs per 100 candidates
$186kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
distributed systemscloud infrastructurenetworkingJavaScalaC++GoAWSAzureGCPbackend developmentmodel servingLLM/agent infrastructurestreaming data systemsRemote for candidates located in Ontario or British Columbia, Canada
Job description

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

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/.

Company context

Working remotely at Confluent

Founded by the team that built Apache Kafka®, Confluent builds a streaming platform that enables companies to easily access data as real-time streams.

Team size
1001-5000
Founded
2014
Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Application process

Review current openings on Confluent's official careers page before applying.

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Remote Senior Software Engineer - Streaming AI (Remote - Ontario / British Columbia) at Confluent | WFH.team