Kafka Engineer

Kafka-Based Event Streaming Solutions Developer

Design and build Kafka-based event streaming solutions from scratch. Develop and support real-time data pipelines (moving from batch to real-time). Work closely with app dev SMEs to design backend architecture. Build out event-driven services using Kafka / IBM Event Streams. Support two primary initiatives (~80%): Converting batch processing systems into real-time streaming systems. Modernizing mainframe integrations using real-time data via SOAP services. Ensure systems are scalable, high-performance, and production-ready. Contribute to a Pega platform migration (approx. 10% of time). Help drive architecture and implementation for multiple projects delivering by EOY.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io.