DevOps / Operation Engineer

Scicom (MSC) Berhad; Bangsar; On-site; PHP 1,025,000 - 2,050,000; Full time

Benefits offered by this job

Medical Insurance

Salary 6000-12000 RM

Job summary

Scicom (MSC) Berhad, based in Bangsar, seeks an experienced Operation Engineer to manage and optimize cloud-native infrastructure, AI-related services, and database systems.

You will deploy, monitor, and improve Kubernetes workloads, build automation, maintain databases, and enhance observability and CI/CD workflows to ensure high availability and performance of online services. This role requires strong DevOps capabilities, Linux expertise, and Mandarin-English communication skills.

Qualifications

• Extensive DevOps and cloud-native experience.
• Hands-on Kubernetes deployment, management and troubleshooting.
• Proficiency in Python, Java, or Go.
• Experience operating AI/ML systems and infrastructure.
• Strong Linux, networking, and observability tooling knowledge.

Responsibilities

• Deploy, operate, monitor, and troubleshoot Kubernetes clusters and containerized workloads.
• Develop automation scripts using Python, Java, or Go to reduce manual workload.
• Manage databases: maintenance, performance tuning, backups and recovery.
• Build observability systems for logs, metrics, and performance tracking.
• Collaborate with development teams to optimize CI/CD workflows.
• Perform daily system checks, incident handling, and RCA.

Skills

DevOps

Kubernetes

Python

Java

Go

AI/ML infra

Linux

Networking

OpenSearch

Grafana

ELK Stack

Argo

APM tools

Tools

OpenSearch

Grafana

ELK Stack

Argo

APM tools

Job description

We are looking for an experienced Operation Engineer to manage, maintain, and optimize our cloud-native infrastructure, AI-related services, and database systems. The successful candidate will collaborate with cross-functional teams to ensure the high availability, stability, and performance of our online services.

Job Description:

• · Deploy, operate, monitor, and troubleshoot Kubernetes clusters and containerized workloads.
• · Develop automation scripts and internal tools using Python, Java, or Go to reduce manual workload.
• · Manage and maintain databases, including routine maintenance, performance tuning, backup, recovery, and fault resolution.
• · Build and maintain observability systems for log collection, metrics monitoring, and performance tracking.
• · Collaborate with development teams to optimize CI/CD workflows and improve delivery efficiency.
• · Perform daily system checks, incident handling, and root cause analysis.
• · Complexity of Cloud-Native Infrastructure: Managing and troubleshooting Kubernetes clusters and containerized workloads is inherently complex, requiring constant vigilance to ensure stability in production environments.
• · Maintaining Observability: Building and maintaining systems for log collection, metrics monitoring, and performance tracking across a distributed environment is a significant ongoing technical task.
• · Database Management: Beyond just maintenance, the role involves complex performance tuning, backups, and recovery, which are critical to data integrity and system availability.
• · Optimizing CI/CD Workflows: Balancing the need for rapid software delivery with stability is a core DevOps challenge. The engineer must collaborate with development teams to ensure pipelines are efficient, reliable, and do not introduce errors into production.
• · Skill Breadth & Adaptation: The need to maintain AI/ML infrastructure alongside traditional databases and cloud services requires a broad, high-level technical skillset and the ability to stay updated with rapidly evolving technology.
• · Root Cause Analysis: Moving beyond "patching" issues to performing deep root cause analysis (RCA) is required to implement long-term optimization plans rather than just treating symptoms.

Requirement:

• · Strong experience in DevOps, system operations, or cloud-native environments.
• · Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters.
• · Proficiency in at least one programming language: Python, Java, or Go.
• · Experience operating or maintaining AI/ML systems and related infrastructure.
• · Fluent Mandarin for daily communication and strong English for documentation.
• · Good understanding of Linux, networking, and cloud-native architecture.
• · Strong problem-solving and troubleshooting skills.
• · Experience with OpenSearch, Grafana, ELK Stack, APM tools, and the Argo ecosystem are preferred

The Package:

• Attractive Salary: RM6000 up to RM 12000
• Performance related allowance for confirmed staff
• Medical Insurance provided
• Working location: Bangsar