Confluent Consulting Engineer

We are looking for an experienced Confluent Consulting Engineer to design, develop, and maintain real-time data streaming solutions using Apache Kafka and Confluent technologies. The ideal candidate will have a solid background in distributed systems, event-driven architectures, and cloud-native deployments. You will work closely with cross-functional teams to deliver scalable and high-performance streaming solutions. Job Responsibilities Design and implement real-time data pipelines and event-driven architectures using Apache Kafka or Confluent Platform. Develop and maintainKafka producers, consumers, and streaming applications in Java, Python, or Scala. Integrate Kafka with various data sources and sinks using Kafka Connect and related connectors. Deploy and manage Kafka clusters on cloud platforms (AWS, GCP, Azure) or on-premise environments. Ensure scalability, reliability, and performance of streaming applications. Collaborate with DevOps teams to build and maintain CI/CD pipelines and containerized deployments using Docker and Kubernetes. Monitor and troubleshoot Kafka infrastructure using tools like Prometheus, Grafana, or Splunk. Provide technical guidance and best practices for event streaming and Confluent ecosystem adoption. Job Requirements Minimum 5 years of hands-on experience with Apache Kafka (open-source or distributions like Confluent, Cloudera, AWS MSK). Strong proficiency in Java, Python, or Scala. Deep understanding of event-driven architectureand streaming data patterns. Experience with cloud platforms(AWS, GCP, or Azure). Familiarity with Docker, Kubernetes, and CI/CD pipelines. Excellent analytical, problem-solving, and communication skills. Preferred/Desired Skills Experience with Confluent Kafka and its ecosystem (Kafka Streams, Kafka Connect, Schema Registry, KSQL, REST Proxy, Control Center). Hands-on experience with Confluent Cloudservices and Apache Flink. Knowledge of Stream Governance, Data Lineage, Stream Catalog, RBAC, and related components. Confluent certifications (Developer, Administrator, or Flink Developer) are a plus. Experience with multi-cloud deployments, Confluent for Kubernetes, or data mesh architectures. Exposure to monitoring tools (Prometheus, Grafana, Splunk) and big data technologies (data lakes, data warehouses). J-18808-Ljbffr

Location: Singapore, Singapore, SG

Posted Date: 10/25/2025