全职 Kafka Solution Engineer 工作, 薪水, GECO Asia Pte Ltd 公司招聘中 - Ricebowl

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.