Software Engineer - Cloud Infrastructure (Confluent)

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.

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.

Your Role And Responsibilities About the Role: Backend engineers at Confluent work on a set of diverse and technically challenging problems, including building cloud frameworks and services that power components of the Confluent Cloud platform. You will have the opportunity to work with modern cloud-native technologies and contribute to services supporting Confluent Cloud, including Connect, Apache Flink, Kafka and more. As a software engineer, you will work closely with experienced engineers to design, develop, test and deploy reliable backend services. You will learn and apply best practices in cloud-native development, distributed systems, microservices and containerized environments while contributing to the continuous improvement of the platform.

What You Will Do

Develop and maintain backend services that deliver value to Confluent Cloud customers

Work with senior engineers on designing and implementing scalable, reliable and maintainable services

Troubleshoot and debug issues across a technical stack including microservices, containers and cloud infrastructure

Write clean, well-tested and maintainable code following software engineering best practices

Contribute to code reviews, technical discussions and documentation

Support the deployment, monitoring and operation of production services

Collaborate with engineers across different teams to deliver projects and resolve technical challenges

Learn and contribute to improvements in service reliability, performance and operational processes

Preferred Education Master's Degree

Required Technical And Professional Expertise

Experience developing backend software in a production or professional environment

Good programming skills in at least one major programming language, such as Java, Go, C/C++, Python, or similar

Understanding of software engineering fundamentals, including testing, code reviews, debugging and documentation

Familiarity with REST APIs, microservices and cloud-native application development

Ability to troubleshoot technical issues and work effectively with other engineers

Strong communication and collaboration skills

Willingness to learn new technologies and work in a technically challenging cloud environment

Preferred Technical And Professional Experience

Experience working with AWS, Azure or Google Cloud

Familiarity with Docker, Kubernetes, Helm or similar cloud-native technologies

Experience with distributed systems, messaging systems or event-driven architectures

Experience working with production applications and monitoring/observability tools

Exposure to performance, scalability, reliability or availability considerations

Experience with Kafka or other streaming technologies is a plus

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