Kafka Solution Engineer

GECO Asia Pte Ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

GECO Asia Pte Ltd seeks a Kafka Solution Engineer to design, implement, and support scalable real-time streaming platforms within enterprise environments. You will closely collaborate with data engineering, architecture, and DevOps teams to deploy Kafka across cloud and containerized environments, optimize performance, and ensure reliability.

Hands-on experience with Kafka, Confluent, and cloud deployments is essential, along with strong programming skills in Java, Python, or Scala.

Qualifications

• 4+ years hands-on Kafka experience, incl. Confluent.
• Proficient in Java, Python, or Scala.
• Experience deploying Kafka on cloud (AWS/GCP/Azure) and using Docker/Kubernetes.
• Strong troubleshooting and problem-solving.

Responsibilities

• Design, implement, and manage Kafka platforms and streaming solutions.
• Support Kafka architecture, cluster management, and performance.
• Deploy Kafka across cloud and containerized environments.
• Develop real-time data pipelines and integrations.
• Collaborate with Data Engineers, Architects, DevOps, and other teams.
• Provide guidance and contribute to design and documentation.

Skills

Kafka

Java

Python

Scala

Docker

Kubernetes

CI/CD

AWS

GCP

Azure

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Confluent

Kafka Connect

Schema Registry

KSQLDB

Job description

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.