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Added 2 months ago
S1
Forward Deployed Engineer
Signal 1
Toronto, ON
- Full-time
Lead the deployment of Signal 1's platform and solutions across multiple health systems
Added 1 month ago
G
Java Developer
Genpact
Montreal, QC
- Full-time
Can work on a collaborative cross-technology team where Java, APIs (services), PL/SQL interact with a range of business logic interfaces & systems.
Added 1 month ago
Senior Software Test Engineer
Coursera
Toronto, ON
Research and identify AI augmented agentic solutions and lead large-scale test automation initiatives
Added 4 months ago
L
Salesforce Technical Architect
LTM
Ontario · Ontario, Canada
- $124,000 to $156,000 USD / year
- Full-time
We are looking for a highly experienced Salesforce Technical Architect to lead endtoend solution architecture design and technical delivery across Salesforce platforms This role requires…
Added 3 months ago
H
Engineering Lead
HSBC
Toronto, ON
- Full-time
You’ll be a tech-first Engineering Lead who brings fresh ideas, guides the team’s technical decisions, and keeps everyone moving towards clear outcomes (quality, reliability, and delivery).…
Added 3 months ago
Q
Senior Software Developer
Quantiphi
Canada
- Full-time
…Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 3 months ago
C
Applications Development Tech Lead Analyst
Citi
Remote, Canada
- Full-time
- Remote
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination…
Added 5 months ago
HB
Technical Lead
Haventree Bank
Toronto, Ontario
- Full-time
As a Technical Lead, you will be responsible for building and leading a team of software engineers. The team will be responsible for designing and developing financial products and features…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Develop and maintain full-stack solutions across a diverse tech stack (Java, Python, Node.js, Angular, Spring Boot), contributing to both front-end and back-end features while continuously…
Added 6 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
…will focus primarily on performing IT risk reviews, performing tech advisory engagements or providing IT internal audit support across the IT risk…
Added 1 month ago
E
Lead Full Stack Engineer
eBay
Toronto, ON
- Full-time
Join eBay's Ad-Tech Innovation team and help build the next generation of advertising for millions of buyers and sellers worldwide. As a Lead Full Stack Engineer, you'll drive end-to-end…
Added 1 month ago
T
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
- Full-time
But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we’re proud to be recognized as a BC Top Employer for the…
Added 1 month ago
A
Analyst, Pricing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
Added 1 month ago
A
Analyst, Pricing (Bangkok Based, relocation provided)
Agoda
Toronto, ON
- Full-time
Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
Added 1 month ago
A
Analyst, Pricing (Bangkok Based, relocation provided)
Agoda
Montreal, QC
- Full-time
Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
Added 1 month ago
C
Java Applications Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
The overall objective of this role is to lead applications systems analysis, architecture, and programming activities, driving the modernization of our Treasury and Money Market platforms…
Added 2 months ago
MS
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley
Montreal, Quebec
- Full-time
We’re seeking someone to join our Commodities Technology team as a Tech Lead to design, build, develop and evolve scalable trading technology platforms supporting global commodities markets…
Added 3 months ago
Senior SDE, Amazon Tax
Amazon
Vancouver, British Columbia
- Experience as a mentor, tech lead or leading an engineering team
Added 3 months ago
DI
AI Engineering Lead
Definity Insurance Company
Toronto, Ontario
- Full-time
We are seeking a forward-thinking AI Engineering Lead to join our innovative team and drive the future of Property & Casualty (P&C) insurance. As an AI Engineering Lead, you will serve as a…
Added 1 month ago
T
Sr. Lead Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for a hands-on Lead Engineer/Dev Manager that will work on innovative and transformational initiatives at TD Securities. The successful candidate will be responsible for the…
Added 3 months ago
FC
Digital Insights Manager
Fidelity Canada
Toronto, Ontario
- Full-time
…to and optimization of marketing campaigns and the marketing tech stack. The objectives are to drive sales, mitigate redemptions, and successfully promote awareness of Fidelity’s brands,…
Added 3 months ago
P
Manager Software Engineering
PointClickCare
Mississauga, Ontario
- Full-time
…care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Are you ready to lead transformative AI initiatives and drive innovation at enterprise scale? Do you excel in environments of rapid technological advancement and thrive on solving complex,…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Are you ready to lead transformative AI initiatives and drive innovation at enterprise scale? Do you excel in environments of rapid technological advancement and thrive on solving complex,…

Closed listing

Confluent

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

Remote, Canada

Remote

$144,200 to $169,400 CAD / year · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $144,200 to $169,400 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 2-5 years of industry experience designing, building, and supporting backend systems in production.
Posting language: English
Posted: Jul 14, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

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.

About employer

More about this job

Responsibilities

Design and operate large-scale, high-performance infrastructure to enable AI agents and inference directly on streaming data. Collaborate across teams to optimize reliability, scalability, and efficiency across AWS, Azure, and GCP.

Requirements

Requires 2-5 years of industry experience in backend systems and strong fundamentals in distributed systems and cloud platforms. Proficiency in statically typed languages like Java, Scala, C++, or Go is required.

Skills

Distributed Systems
Cloud Infrastructure
Networking
Java
Scala
C++
Go
Model Serving
LLM Infrastructure
Streaming Data Systems
Backend Development
System Reliability
Observability
Resource Allocation
Consensus Algorithms
Failover Strategies

Benefits

Equity

Remote locations

Ontario, Canada
British Columbia, Canada

Remote locations (standardized)

British Columbia, Canada
Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Streaming AI
Confluent Cloud
Distributed Systems
Cloud Infrastructure
AWS
Azure
GCP
Java
Scala
C++
Go
LLM
AI Agents
Model Serving
Real-time Data
Inference
Backend Systems
Consensus Algorithms
Failover Strategies
Observability
Scalability
High Availability
Networking
Compute
Security
Data Plane
IBM

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