Cloud Engineer

Key Responsibilities

Cloud & Infrastructure Support

Assist in implementing, supporting, and troubleshooting cloud and infrastructure solutions across platforms such as

AWS, Microsoft Azure, Huawei Cloud, and Alibaba Cloud

.

Support cloud solution design, Proof-of-Concept (POC) testing, migration activities, and project delivery under the guidance of senior Cloud Engineers and Architects.

Provide day-to-day technical support to customers and internal teams for cloud and infrastructure-related issues.

Assist in monitoring cloud environments, system performance, availability, security, and resource utilization.

Support basic configuration and administration of servers, networking, storage, virtualisation, Linux and Windows environments.

Maintain infrastructure documentation, technical procedures, compliance checklists, and basic governance requirements.

Assist with post-project reviews and continuous improvement of cloud and infrastructure solutions.

Data & AI Support

Assist in implementing and supporting

cloud-based data and AI solutions

under the guidance of senior engineers and architects.

Gain exposure to cloud data services such as

data lakes, data warehouses, databases, data pipelines, and analytics platforms

.

Support basic data ingestion, data integration, and data processing activities across cloud environments.

Assist in deploying and supporting

AI/ML workloads and services

using cloud-based platforms and tools.

Support Proof-of-Concept (POC) activities involving

Generative AI, Machine Learning, AI services, and data analytics

.

Assist in troubleshooting basic issues related to data pipelines, cloud data services, AI services, and application integrations.

Work with senior engineers to understand and apply basic concepts of

data security, governance, access control, data quality, and responsible AI

.

Stay updated on emerging cloud, data, AI, and automation technologies and contribute to internal knowledge sharing.

Collaboration & Knowledge Sharing

Work closely with senior Cloud Architects, Data/AI specialists, and Pre-Sales teams to support technical demonstrations, tenders, POCs, and customer engagements.

Coordinate with vendors, technology partners, and internal teams to learn and onboard new cloud, data, and AI solution offerings.

Support Pre-Sales activities by preparing technical materials, solution demonstrations, and basic technical documentation.

Provide technical inputs to Marketing and internal teams for technology showcases, workshops, events, and customer demonstrations.

Participate in knowledge-sharing sessions and continuously develop technical skills across cloud, infrastructure, data, and AI technologies.

Qualifications / Skills

Diploma or Degree in

Information Technology, Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Software Engineering, or related disciplines

.

Fresh graduates or candidates with

up to 2 years of relevant experience

are welcome.

Basic exposure to one or more cloud platforms such as

AWS, Microsoft Azure, Huawei Cloud, or Alibaba Cloud

through internships, academic projects, certifications, or work experience.

Basic understanding of IT infrastructure, including

servers, networking, storage, virtualisation, and Linux/Windows operating systems

.

Basic understanding of

databases, data management, data processing, and data analytics concepts

.

Basic understanding of

Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Large Language Models (LLMs)

is an added advantage.

Exposure to data or AI tools/services through academic projects, internships, certifications, or personal projects is advantageous.

Basic knowledge of programming or scripting languages such as

Python, SQL, PowerShell, or Bash

.

Familiarity with ITSM processes such as

incident, change, problem, and asset management

is a plus.

Basic understanding of

cloud security, identity and access management (IAM), data security, and governance

is advantageous.

Strong problem-solving and analytical mindset with eagerness to learn and grow in

Cloud, Data, and AI

domains.

Good communication skills and ability to work effectively in a team environment.

Ability to work with senior engineers, architects, customers, vendors, and cross-functional teams.