Site Reliability/DevOps Engineer

First Fun; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

First Fun is seeking a Data Platform Operations Engineer in Singapore to maintain and optimize live game services and data pipelines. You will monitor performance, manage databases, and ensure data flows reliably and securely across environments.

Your responsibilities include Kafka clusters, Databricks lakehouse operations, job scheduling, and collaborating with the data team to fix failures and maintain data quality. The role emphasizes automation and cost control.

Qualifications

• Bachelor's degree in CS/CE or related field.
• At least 3 years in systems, database, or data platform operations.
• Experience with Linux system administration and incident resolution.
• Familiarity with Kafka, Databricks, Spark, and cloud data platforms.
• Proficient in Python or Shell scripting and SQL, plus Prometheus.

Responsibilities

• Perform daily maintenance, monitoring, incident response, and performance optimization for game servers and live services to ensure stability and availability.
• Manage and maintain game databases, including capacity and performance monitoring, backup and recovery, access control, high availability, and troubleshooting.
• Maintain game data collection pipelines, including Kafka clusters and producers/consumers.
• Maintain servers, storage, and ingestion components; monitor latency, backlogs, write status, and data integrity.
• Databricks lakehouse operations: compute resources, job scheduling, access control, monitoring, troubleshooting.
• Collaborate with data team to resolve job failures, data delays, missing data, and basic data validation issues.
• Develop operations automation, monitoring, and alerting mechanisms.
• Contribute to capacity planning, cost management, and security standards.

Skills

Linux administration

Performance monitoring

Incident response

High availability

SQL

Python

Shell scripting

Prometheus

Cloud platforms

Kafka

Databricks

Spark

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

Databricks

Spark

Kafka

MySQL

PostgreSQL

Linux

Job description

• Perform daily maintenance, monitoring, incident response, and performance optimization for game servers and live services to ensure stability and availability.
• Manage and maintain game databases, including capacity and performance monitoring, backup and recovery, access control, high availability, and troubleshooting.
• Maintain game data collection and transmission pipelines, including data collection services, Kafka clusters, and associated producer and consumer components.
• Maintain servers, storage, and ingestion components used to persist data. Monitor data latency, message backlogs, write status, and data integrity.
• Perform daily maintenance of the Databricks lakehouse platform, including compute resources, job scheduling, access control, monitoring and alerting, and operational troubleshooting.
• Ensure reliable operation of data pipelines and jobs and collaborate with the data team to resolve job failures, data delays, missing data, and basic data validation issues.
• Develop operations automation, monitoring, and alerting mechanisms.
• Contribute to capacity planning, performance optimization, cloud resource cost management, and implementation of security standards.

Requirements

• Bachelor’s degree or above in Computer Science, Computer Engineering, or a related field, with at least three years of experience in systems, database, or data platform operations.
• Proficiency in Linux system administration, server performance analysis, log analysis, and production incident resolution, with experience operating game or internet services.
• Familiarity with backup and recovery, performance monitoring, access control, and high availability for at least one relational database, such as MySQL or PostgreSQL.
• Understanding of Kafka architecture and operations, with familiarity troubleshooting common issues involving topics, partitions, replicas, consumer groups, and message backlogs.
• Experience using or maintaining Databricks, Spark, or cloud-based data platforms, with an understanding of job scheduling and compute resource management.
• Proficiency in Python or Shell scripting, the ability to use SQL for basic data checks, and familiarity with Prometheus and major cloud platforms.

Preferred Qualifications

• Experience operating mobile games, online services, or data pipelines handling high concurrency.
• Experience maintaining Kafka clusters, data collection systems, or data lakehouse platforms in production environments.
• Experience with cloud security, data protection, compliance implementation, or Databricks cost optimization.

Why Join Us

You will contribute to both live game services and data platform development, working across the full operations stack, from servers and databases to Kafka data pipelines and the Databricks lakehouse. Your work will directly improve the stability of game services and the reliability of data delivery.