Senior Software Engineer - Streaming AI
- Role
- Backend
- Experience
- Senior
- Employment
- Full-time
- Company size
- Enterprise
Open to CA, US only. Set where you work from to check your eligibility.
No BS summary
Senior backend/infrastructure engineer with 2-5 years building production backend systems. Needs distributed systems, cloud infrastructure/networking, one of AWS/Azure/GCP, and proficiency in Java, Scala, C++, Go, or another statically typed language. Remote role for Canada, specifically Ontario or British Columbia.
Core skills
Required skills
Optional skills
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.
What you'll 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 such as AWS, Azure, and GCP.
- Take ownership of the infrastructure that enables Confluent's in-place, at-scale AI value proposition.
- Architect systems that allow customers to run complex inference and AI agents directly on streaming data.
- Tackle infrastructure challenges across networking, compute, and security to ensure AI capabilities are reliable.
What they require
- 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 and their services.
- Proficiency in Java, Scala, C++, Go, or other statically typed languages.
- 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.
- Engineers who thrive on the technical complexity of large-scale distributed systems.
- Passion for building foundational systems that power AI in the cloud.
- Preferred: Exposure to model serving, LLM/agent infrastructure, or streaming data systems.
- No background in ML research or model training is needed.
Benefits
- Offers equity.
- Belonging is treated as a baseline.
- Work across time zones and backgrounds.
- Space for everyone to lead, grow, and challenge what is possible.
Confluent's platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver dynamic experiences.