---
title: 'Senior Software Engineer - Streaming AI (Remote - Ontario / British Columbia) at Confluent'
canonical: 'https://feeny.ai/job/senior-software-engineer-streaming-ai-remote-ontario-british-columbia-confluent-zrt6n9x08hqc'
type: 'job'
last_seen: '2026-09-16'
---

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

- **Company:** Confluent
- **Location:** Ontario, Canada
- **Compensation:** $144k–$169k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/confluent/ce64fe49-184c-44b1-9abf-dc5ce0dc9381

## 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](http://ibm.com/careers/us-en/privacy-policy/).

## About Confluent

## Company Overview
- **One-liner**: Confluent provides a cloud-native data streaming platform built by the original co-creators of Apache Kafka, enabling organizations to stream, process, and react to data in real time.
- **Entity Type**: Public (NASDAQ: CFLT)
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2014
- **Founders**: Jay Kreps, Jun Rao, Neha Narkhede

## Core Business
- **Primary industry**: Data streaming infrastructure, real-time data platforms
- **Target customers**: B2B, enterprise, developers, and data engineers
- **Mission/purpose**: To create the foundational platform for data-in-motion, unleashing the power of continuously flowing data so companies can innovate and win in the modern digital world.

## Products & Services
- **Confluent Cloud**: Fully managed, cloud-native data streaming service powered by the Kora engine. Offers autoscaling, 99.99% uptime SLA, transparent consumption-based pricing, and support for GBps+ workloads.
- **Confluent Platform**: Self-managed distribution of Apache Kafka with enterprise features, including Confluent for Kubernetes and Ansible playbooks for easier on-prem or hybrid deployment.
- **Schema Registry**: Supports Avro, Protobuf, and JSON Schema for stream governance.
- **120+ Pre-built Connectors**: Integrates with databases, data warehouses, SaaS apps, and cloud services.
- **Cluster Linking**: Enables real-time topic mirroring, data replication, and workload migration across clusters without downtime.

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (public company; SEC filings available)
- **Key Metric**: Not publicly available from provided sources (public company; annual revenue disclosed in 10-K filings)
- **Notable Investors/Partners**: Not disclosed in provided sources (public company with institutional investors; partners include major cloud providers)
- **Growth Signals**: 3,263 total employees (Built In), remote-first hiring across 25+ countries, hyper-growth mode, expanding engineering and sales teams globally.

## Competitive Advantages
- Founded by the original co-creators of Apache Kafka, ensuring deep platform expertise and compatibility.
- Complete, enterprise-grade platform with cloud-native architecture (Kora engine) that scales 10x faster than traditional Kafka and delivers 20-90%+ throughput savings.
- Fully compatible with Apache Kafka, allowing seamless migration and hybrid deployments.
- Strong security and compliance posture: SOC 2, ISO 27001, PCI DSS certifications.
- 99.99% uptime SLA for production workloads and transparent consumption-based pricing.

## Strategic Focus
- Enabling real-time AI and event-driven applications.
- Expanding global footprint with offices in Mountain View, London, Toronto, Bengaluru, Dubai, and Reston.
- Building a complete ecosystem of connectors and governance tools to simplify data streaming adoption.
- Scaling the platform to handle AI workloads and real-time microservices.

## Why Work Here
- **Remote-first culture**: Work where you thrive – home, office, or anywhere in between. Offices available in 9 locations globally.
- **Flexibility**: Flexible time off, volunteer time off, and support for all paths to parenthood.
- **Compensation**: Competitive equity program with no cliff, plus a one-time home office reimbursement of up to $500 USD.
- **Culture**: Values include “Prioritize Ruthlessly,” “One Team,” “Smart, Humble, and Empathetic,” “Lead with Courage and Honor,” and “Earn Our Customers’ Love.” Direct access to leadership via #ask-estaff Slack channel.
- **Growth**: Hyper-growth environment with opportunities to work on cutting-edge data streaming technology. Engineering roles span senior software engineers, staff engineers, and engineering managers.

## Sources
1. [careers.confluent.io](https://careers.confluent.io/)
2. [confluent.io](https://www.confluent.io/)
3. [confluent.io/about](https://www.confluent.io/about/)
4. [builtin.com/company/confluent](https://builtin.com/company/confluent)
5. [careers.confluent.io/life-at-confluent](https://careers.confluent.io/life-at-confluent)
6. [jobs.ashbyhq.com/confluent](https://jobs.ashbyhq.com/confluent)

## Other roles at Confluent

- [Senior Manager, Detection & Response (Security Engineering)](https://feeny.ai/job/senior-manager-detection-response-security-engineering-confluent-united-states-na6qty83xdvd) — United States
- [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-confluent-mountain-view-k421yhdctx4f) — Mountain View, CA
- [Distributed Systems Software Engineer - WarpStream](https://feeny.ai/job/distributed-systems-software-engineer-warpstream-confluent-united-states-tyn33qrw50j6) — United States
- [Staff Security Risk & Compliance Program Manager - Access Management](https://feeny.ai/job/staff-security-risk-compliance-program-manager-access-management-confluent-a9gp1mfk5tpa) — United States
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-confluent-job-posting-only-usa1-5gfb51y59dwg) — *job Posting Only: Usa1
- [Staff Software Engineer I](https://feeny.ai/job/staff-software-engineer-i-confluent-job-posting-only-usa1-mhj2fkk2ws07) — *job Posting Only: Usa1
- [Senior Software Engineer - Infrastructure](https://feeny.ai/job/senior-software-engineer-infrastructure-confluent-ca-cfadkb2xff0y) — CA, Canada
- [Senior Product Manager, Developer Experience](https://feeny.ai/job/senior-product-manager-developer-experience-confluent-united-states-gtdyga6apjwn) — United States
- [Staff Product Manager, Cloud Networking](https://feeny.ai/job/staff-product-manager-cloud-networking-confluent-united-states-46g1y8cxx6aj) — United States
- [Principal Engineer, Engineering AI Productivity](https://feeny.ai/job/principal-engineer-engineering-ai-productivity-confluent-united-states-3ms5wqdk5cz0) — United States