Senior Software Engineer - Confluent Cloud Traffic

Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration.

You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. With Confluent, data doesn't sit still.

We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them.

Your role and responsibilities

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.

* 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.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

* 2+ years of relevant cloud infrastructure/cloud networking experience

* Experience/knowledge with public clouds (AWS, Azure or GCP)

* Practical experience with Kubernetes and containerization technologies

* 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)

* Proficiency in C++, Go, Python, or other statically typed languages

* A self-starter with the ability to work effectively in teams

* BS, MS in computer science or a related field, or equivalent work experience

Preferred technical and professional experience

* 5+ years of relevant cloud infrastructure/cloud networking experience

* A Strong networking background combined with your software engineering experience

ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it.

In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI…