Kafka Solution Engineer

Tap Growth ai; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Kafka Solution Engineer to design, implement, and support scalable real‑time streaming platforms. You will work closely with data engineering, architecture, and DevOps teams in enterprise environments to deliver robust Kafka-based solutions.

The role emphasizes hands‑on Kafka architecture, cloud deployment, and containerized operations using Kubernetes, Docker, Terraform, and Ansible.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 4+ years hands-on with Apache Kafka or equivalents.
• Experience with enterprise-scale data streaming and distributed systems.
• Customer-focused and proactive delivery mindset.

Responsibilities

• Design, implement, and manage Kafka platforms and streaming solutions.
• Support topology and cluster management, configuration, and reliability.
• Deploy Kafka platforms across cloud and containerized environments.
• Develop real-time data pipelines and integrations.
• Implement infrastructure using Kubernetes, Docker, Terraform, and Ansible.
• Support CI/CD and automated deployment for Kafka components.
• Monitor, troubleshoot production issues and ensure security best practices.
• Collaborate with Data Engineers, Solution Architects, DevOps, and other teams.
• Provide technical guidance and contribute to solution design and documentation.

Skills

Kafka experience

Java / Python / Scala

Event-driven architecture

Cloud deployment

Docker

Kubernetes

CI/CD

Troubleshooting

Kafka components

Security best practices

Education

Bachelor's degree in Computer Science, Information Technology, Engineering

Tools

Terraform

Ansible

Job description

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: Singapore, 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.