Requirements
- BS, MS, or PhD in Computer Science or a related field, or equivalent work experience.
- 8+ years of software engineering industry experience.
- Strong fundamentals in distributed systems design and development.
- Experience in building and operating large-scale systems.
- Solid understanding of networking primitives and protocols.
- Self-starter with the ability to work effectively in teams.
- Proficiency in C++, Go, Python, or other programming languages
Nice to Have
- Experience with Kubernetes.
- Experience with network proxies and/or load balancers.
- Experience with public clouds (AWS, Azure, or GCP).
Work Arrangement
Hybrid
Team
Structure: cross-functional engineering team working across engineering, security, product, and platform orgs
About the Role
- We are looking for a staff level technical leader to help us build the next-generation network data plane to enable our Confluent Cloud platform to achieve 0x the current scale.
- This is a hybrid engineering role, blending deep software development expertise with hands-on operational excellence.
- Cloud networking is a strategic investment area with significant potential to impact the company's growth.
- The Traffic team is responsible for the network platform of Confluent Cloud with a focus on performance, security, reliability, and cost optimizations for all network traffic that ingresses and egresses a customer's Kafka and DSP deployments as well as all internal service to service traffic on Confluent Cloud.
- You will architect, design and lead cross-team initiatives to deliver highly scalable, cost efficient, networking data plane solutions, while also ensuring these systems are reliable, observable, and resilient in production.
- You’ll work across engineering, security, product, and platform orgs to deliver building blocks that empower product teams to integrate networking seamlessly.
What You Will Do
- Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform.
- Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality.
- Leverage cloud providers to deliver impactful business solutions.
- Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization.
What You Will Bring
- BS, MS, or PhD in Computer Science or a related field, or equivalent work experience.
- 8+ years of software engineering industry experience.
- Strong fundamentals in distributed systems design and development.
- Experience in building and operating large-scale systems.
- Solid understanding of networking primitives and protocols.
- Self-starter with the ability to work effectively in teams.
- Proficiency in C++, Go, Python, or other programming languages
What Gives You an Edge
- Experience with Kubernetes.
- Experience with network proxies and/or load balancers.
- Experience with public clouds (AWS, Azure, or GCP).
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.