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Salary
$80k – $226k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior
Employment
Contractor
Overview
Company
Impact
Profile match
Fuku is a fast-casual restaurant concept founded by chef David Chang that specializes in Asian- and Southern-inspired spicy fried chicken. Originating from a secret menu item at Momofuku Noodle Bar in New York, the brand has grown into a standalone culinary concept known for its signature chicken sandos, tenders, and sides. Today, Fuku operates through brick-and-mortar locations, major sports arenas, airports, and high-traffic venues across the United States.

12 months renewable contract

Banking Client

Key Responsibilities

- Design, implement, configure, and manage Apache Kafka environments.

- Support real-time data streaming and event-driven applications.

- Configure and manage Kafka topics, partitions, replication, consumer groups, producers, and consumers.

- Monitor Kafka cluster performance, availability, capacity, and overall platform health.

- Troubleshoot and resolve production issues related to Kafka, messaging, connectivity, and performance.

- Deploy and manage Kafka-related applications and services on Kubernetes.

- Collaborate with development, infrastructure, DevOps, and application teams to onboard and support applications using Kafka.

- Implement high availability, scalability, security, and disaster recovery practices.

- Automate platform deployment, configuration, monitoring, and operational processes.

- Participate in architecture discussions and recommend improvements to the real-time streaming platform.

- Provide technical guidance and support to junior engineers and other technology teams.

Key Requirements

- Minimum 10 years of overall IT experience.

- At least 2 to 3 years of strong hands-on experience with Apache Kafka.

- Strong practical experience with Kubernetes.

- Bachelor’s degree in Computer Science or a similar relevant educational background is required.

- Experience supporting real-time or event-driven applications in a production environment.

- Good understanding of Kafka architecture, including brokers, topics and partitions, replication, consumer groups, producers and consumers, high availability, and fault tolerance.

- Experience with monitoring and troubleshooting distributed systems.

- Familiarity with Linux and scripting or automation.

- Experience with CI/CD, Docker, and DevOps practices is advantageous.

- Knowledge of cloud platforms such as AWS, Azure, or GCP is an advantage.

EA Reg. No. 25C2690 | EA License No. R1330510 | [email protected]

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