Kafka Solution Engineer

🚀 We're Hiring: Kafka Solution Engineer! 🚀

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.

📍 Location: Indonesia / Singapore
⏰ Work Mode: Work from Office
💼 Role: Kafka Solution Engineer

What You'll Do:

• 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:

• BBachelor’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.
  
• 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.
  

If you're ready to build impactful data solutions with us, apply now! 🌟