Software Engineer- Cloud Traffic

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 Role
To realize Confluent’s enormous potential, we are looking for software engineers, at various levels, to grow our Traffic team which is responsible for building and managing the networking fabric of Confluent Cloud. Cloud networking is a strategic investment area for Confluent with the potential to impact the company’s top and bottom line. The data plane area in the Traffic team focuses on the performance, security, reliability, and cost optimizations for all traffic that ingresses and egresses a customer's Kafka cluster on Confluent Cloud.
We are looking for someone with an interest in building large-scale distributed systems, with a focus on building and managing network data planes for containerized workloads in the cloud. The ideal candidate would be passionate about network data plane performance, scale, cost optimizations, and building robust software.
Tech in Toronto! Toronto is an early career engineer hub for Confluent. Your role will be a hybrid working model that introduces you to Confluent's culture and enables faster learning, onboarding, and coaching. During the first year of employment, all Software Engineers globally will be required to participate in the SWE Onboarding program and go into their Confluent office 2 days per week.
What You Will Do

• Build the software underpinning the mission-critical Confluent Cloud network data plane platform. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems
• Independently drive execution of software projects to deliver complex projects in production with a focus on quality
• Build upon open source software to deliver business impact
• Troubleshoot issues and improve ops for complex technical stack that spans all the 3 clouds and includes microservices, containers, and virtualization

What You Will Bring

• Bachelor’s or Master’s in Computer Science, Math, or a related technical field with a graduation date between December 2023 - January 2026
• Strong fundamentals in distributed systems design and development
• Experience building and operating large-scale systems
• Solid understanding at a systems level (disk, network, operating systems, etc)
• A self-starter with the ability to work effectively in teams
• Proficiency in C++, Go, Python, or other statically typed languages
• Experience/knowledge with public clouds (AWS, Azure or GCP)

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.