Role Description -
We’re seeking a hands-on engineer with deep expertise in Confluent Cloud Kafka and Apache Flink.
Candidate should be able to design, build, and operate real-time streaming pipelines and analytics, write and optimize complex Flink SQL queries, and administer Confluent Cloud environments w.r.t to managing topics, schema governance.
Key responsibilities -
- Design, implement, and optimize Flink streaming jobs.
- Confluent Cloud Kafka administration.
- Java knowledge.
- Enforce TLS, RBAC/ACLs, schema governance, secrets management, and audit logging standards.
- Partner with data engineers, platform/SRE, and product teams to define and align SLAs/SLOs, data contracts.
- Review designs/PRs, mentor engineers on streaming best practices; contribute to standards and documentation.
Required qualifications -
- 7+ years building streaming/data-in-motion solutions; 3+ years focused on Kafka (Confluent Cloud strongly preferred).
- 3+ years hands-on with Apache Flink (Flink SQL); expert at writing and tuning complex Flink queries.
- Strong troubleshooting skills with Kafka and Flink.
- Excellent communication and documentation habits; can translate requirements into robust streaming designs.
Nice to have -
- Experience with Confluent Cloud Flink (managed), ksqlDB, Kafka Streams.
- Cloud experience (Azure) and observability stacks (Dynatrace/Prometheus/Grafana).