Kafka & Cloud-Native Support Engineer

IBM; Armonk (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

IBM Software seeks a Technical Support Engineer to help clients optimize Confluent deployments and streaming data workloads. You’ll work directly with customers, diagnosing issues and applying Java, Linux, and Kafka expertise to deliver timely solutions.

This role emphasizes collaboration with product and engineering teams, documentation improvements, and hands-on development across distributed systems.

Qualifications

• Excitement in learning about streaming data and becoming a domain expert in Apache Kafka.
• Experience diagnosing, reproducing, and resolving customer issues.
• Desire to make customers successful through direct interaction.
• Two out of these three: experience troubleshooting Linux-based applications, knowledge of Java tooling, or experience with distributed systems (e.g., Kafka, Hadoop, Cassandra).

Responsibilities

• Working with customers to resolve a wide range of issues with their Confluent deployments.
• Contributing to process development - we’re a growing team, so we’re looking for people who want to help us grow efficiently and with a best-in-class culture.
• Communicating with our core engineering team to provide real-time product feedback from the field.
• Improving product documentation and authoring knowledge base articles.
• Creating and reviewing product demos and internal tooling.
• Working closely with the team behind Apache Kafka!

Skills

Apache Kafka

Linux troubleshooting

Java applications

Distributed systems

Customer support

Product feedback

Education

Master's Degree

Tools

JStack

JMap

Job description

IBM Software seeks a Technical Support Engineer to help clients optimize Confluent deployments and streaming data workloads. You’ll work directly with customers, diagnosing issues and applying Java, Linux, and Kafka expertise to deliver timely solutions.

This role emphasizes collaboration with product and engineering teams, documentation improvements, and hands-on development across distributed systems.