Senior Software Engineer - Cloud Traffic
Description
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
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.
What You Will Bring:
- BS, MS, or PhD in computer science or a related field, or equivalent work experience
- 4+ years of relevant cloud infrastructure/cloud networking experience
- Strong fundamentals in distributed systems design and development
- Experience building and operating large-scale systems
- Solid understanding of basic systems operations (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)
- Experience with Linux kernel networking and eBPF
What Gives You an Edge:
- Experience with Kubernetes Networking
- Experience with Envoy proxy
- A Strong networking background combined with your software engineering experience
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of 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 applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $155,100 - 178,400 an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE.
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