Production Support Engineer

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Role:Production Support Engineer

Location: KualaLumpur-Malaysia (Onsite)

*Role Summary*

We are looking for production Support Engineer to support the reliability and day-to-day operation of large-scale, distributed production systems. This role focuses on troubleshooting, deployment support, and coordination across application, platform, and infrastructure layers in a fast-paced environment.

*Core Responsibilities*

- Support production stability by monitoring, troubleshooting, and resolving service issues across distributed systems.

- Perform initial triage and coordination for production problems, following defined procedures and escalation paths.

- Support Kubernetes-based workloads, including pod health, service availability, resource usage, and basic networking issues.

- Assist with deployment and change activities, validating configurations, monitoring rollouts, and ensuring minimal disruption.

- Support application build and delivery workflows, including basic code compilation, container image builds, and artifact validation.

- Assist in troubleshooting data platforms and pipelines, including batch and streaming workloads.

- Provide on call and troubleshooting support for big data platforms and services, including Flink, Hive, Yarn, Spark, and related data processing workflows.

- Maintain clear operational communication, documentation, and shift handoffs while collaborating with engineering and platform teams.

*Required Skills & Experience*

- Experience in a production operations or platform support role.

- Strong Linux knowledge, including log analysis, processes, networking, filesystem basics, and resource monitoring.

- Hands-on troubleshooting exposure to Kubernetes or containerized environments at a support level.

- Basic understanding of middleware and service communication layers, such as service mesh, traffic routing, or service discovery.

- Introductory to intermediate experience with application build processes, including compiling code, building container images, or working with CI/CD pipelines.

- Basic familiarity with big data technologies and concepts such as Spark, Hive, Flink, HDFS, and analytical platforms such as ClickHouse, along with Redis and relational databases.

- Strong communication skills, collaboration skills, and a clear sense of ownership when handling production issues