Confluent - Senior Software Engineer - Kafka

Additional Cities:
Poughkeepsie, Lowell, Rochester, Tucson, Research Triangle Park, Armonk, Boston, Bellevue, Atlanta, San Jose, Dallas, Austin, San Francisco, Seattle

Additional States:
Georgia, Minnesota, Texas, New York, North Carolina, Arizona, Washington, Massachusetts, California

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

As a Senior Software Engineer on the team, you will focus on advancing key layers of the Realtime Context Engine project, including its multi-tenant, highly available compute infrastructure, and the core components responsible for query execution and background materialization. You will tackle challenges such as developing strategies for efficient execution and at massive scale across all of Confluent Cloud, ensuring high availability and scalability.

What You Will Do:

Query Engine Development: Design and implement innovative strategies for query execution, planning, and caching at massive scale.

Platform Engineering
:
Build and maintain multi-tenant, highly available infrastructure that powers computational tasks for Lightning tables and the realtime context engine. Ensure that the platform is optimized for scalability, reliability, and resilience, in alignment with organizational objectives.

Cross-Functional Collaboration: Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage features and infrastructure with the broader organization.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• Expertise in C++ and/or Rust
• 3-5 years of demonstrated professional work experience building database technologies
• Experience in building and operating large-scale database systems
• Distributed Systems domain experience
• Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels.

Preferred technical and professional experience

• Familiarity with or has experience contributing to the following open-source technologies:
  Apache Iceberg, Velox, Substrait
• Experience/knowledge with public clouds (AWS, Azure or GCP)
• Computer Science Degree with Specialization in Database Technologies

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 across business. IBM’s hybrid…