Kafka Solution Engineer

Job Summary We are seeking a Kafka Solution Engineer with strong hands-on experience in Kafka architecture, platform engineering, and cloud deployment. The ideal candidate will design, implement, and support scalable real-time streaming platforms, working closely with data engineering, architecture, and DevOps teams in enterprise environments. Key Responsibilities - Design, implement, and manage Apache Kafka platforms and streaming solutions. - Support Kafka architecture, cluster management, configuration, performance, and reliability. - Deploy and manage Kafka platforms across cloud and containerized environments. - Develop and maintain real-time data pipelines and integrations. - Implement and manage infrastructure using Kubernetes, Docker, Terraform, and Ansible. - Support CI/CD processes and automated deployment of Kafka and platform components. - Monitor, troubleshoot, and resolve Kafka and platform-related production issues. - Implement security, access control, monitoring, and operational best practices. - Collaborate with Data Engineers, Solution Architects, DevOps, and other technical teams. - Provide technical guidance and contribute to solution design and documentation. General Qualifications - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. - 4+ years of hands-on experience with Apache Kafka or equivalent Kafka distributions such as Confluent, Cloudera, or AWS MSK. - Experience working with enterprise-scale data streaming, integration, or distributed systems. - Customer-focused, proactive, and adaptable approach to technical delivery. Mandatory Skills - Apache Kafka – 4+ years of hands-on experience (particularly with Confluent Kafka). - Strong proficiency in at least one programming language: Java, Python, or Scala. - Good understanding of event-driven architecture and data streaming patterns. - Experience deploying or managing Kafka on AWS, GCP, or Azure. - Experience with Docker, Kubernetes, and CI/CD. - Strong troubleshooting and problem-solving skills. - Experience with Kafka components such as Kafka Connect, Kafka Streams, Schema Registry, or REST Proxy. Nice-to-Have Skills - Experience with Confluent Platform or Confluent Cloud. - Experience with ksqlDB, Apache Flink, or Confluent for Kubernetes (CFK). - Knowledge of Kafka KRaft, multi-cloud deployments, and Kafka security. - Experience with Prometheus, Grafana, or Splunk. - Experience with data lakes, data warehouses, or big data platforms. - Confluent certifications such as Confluent Developer, Administrator, or Flink Developer.

• Kafka Solution Engineer

  Tap Growth ai · Singapore, Singapore